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Schormair B, Zhao C, Bell S, Didriksen M, Nawaz MS, Schandra N, Stefani A, Högl B, Dauvilliers Y, Bachmann CG, Kemlink D, Sonka K, Paulus W, Trenkwalder C, Oertel WH, Hornyak M, Teder-Laving M, Metspalu A, Hadjigeorgiou GM, Polo O, Fietze I, Ross OA, Wszolek ZK, Ibrahim A, Bergmann M, Kittke V, Harrer P, Dowsett J, Chenini S, Ostrowski SR, Sørensen E, Erikstrup C, Pedersen OB, Topholm Bruun M, Nielsen KR, Butterworth AS, Soranzo N, Ouwehand WH, Roberts DJ, Danesh J, Burchell B, Furlotte NA, Nandakumar P, Earley CJ, Ondo WG, Xiong L, Desautels A, Perola M, Vodicka P, Dina C, Stoll M, Franke A, Lieb W, Stewart AFR, Shah SH, Gieger C, Peters A, Rye DB, Rouleau GA, Berger K, Stefansson H, Ullum H, Stefansson K, Hinds DA, Di Angelantonio E, Oexle K, Winkelmann J. Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction. Nat Genet 2024; 56:1090-1099. [PMID: 38839884 PMCID: PMC11176086 DOI: 10.1038/s41588-024-01763-1] [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: 03/09/2023] [Accepted: 04/19/2024] [Indexed: 06/07/2024]
Abstract
Restless legs syndrome (RLS) affects up to 10% of older adults. Their healthcare is impeded by delayed diagnosis and insufficient treatment. To advance disease prediction and find new entry points for therapy, we performed meta-analyses of genome-wide association studies in 116,647 individuals with RLS (cases) and 1,546,466 controls of European ancestry. The pooled analysis increased the number of risk loci eightfold to 164, including three on chromosome X. Sex-specific meta-analyses revealed largely overlapping genetic predispositions of the sexes (rg = 0.96). Locus annotation prioritized druggable genes such as glutamate receptors 1 and 4, and Mendelian randomization indicated RLS as a causal risk factor for diabetes. Machine learning approaches combining genetic and nongenetic information performed best in risk prediction (area under the curve (AUC) = 0.82-0.91). In summary, we identified targets for drug development and repurposing, prioritized potential causal relationships between RLS and relevant comorbidities and risk factors for follow-up and provided evidence that nonlinear interactions are likely relevant to RLS risk prediction.
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Affiliation(s)
- Barbara Schormair
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
- Institute of Human Genetics, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
| | - Chen Zhao
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Steven Bell
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, UK
| | - Maria Didriksen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark
| | | | - Nathalie Schandra
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Ambra Stefani
- Sleep Disorders Clinic, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Birgit Högl
- Sleep Disorders Clinic, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Yves Dauvilliers
- Sleep-Wake Disorders Center, Department of Neurology, Hôpital Gui-de-Chauliac, CHU Montpellier, Institut des Neurosciences de Montpellier, INSERM, Université de Montpellier, Montpellier, France
| | - Cornelius G Bachmann
- SomnoDiagnostics, Osnabrück, Germany
- Department of Neurology, University Medical Center Göttingen, Göttingen, Germany
| | - David Kemlink
- Department of Neurology and Centre of Clinical Neuroscience, Charles University, First Faculty of Medicine and General University Hospital, Prague, Czech Republic
| | - Karel Sonka
- Department of Neurology and Centre of Clinical Neuroscience, Charles University, First Faculty of Medicine and General University Hospital, Prague, Czech Republic
| | - Walter Paulus
- Department of Neurology, Ludwig Maximilians University Munich, Munich, Germany
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany
| | - Wolfgang H Oertel
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | | | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Georgios M Hadjigeorgiou
- Department of Neurology, Nicosia General Hospital Medical School, University of Cyprus, Nicosia, Cyprus
| | - Olli Polo
- Bragée ME/CFS Center, Stockholm, Sweden
| | - Ingo Fietze
- Department of Pulmonology, Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Owen A Ross
- Department of Neuroscience, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | | | - Abubaker Ibrahim
- Sleep Disorders Clinic, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Melanie Bergmann
- Sleep Disorders Clinic, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Volker Kittke
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Philip Harrer
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Joseph Dowsett
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Sofiene Chenini
- Sleep-Wake Disorders Center, Department of Neurology, Hôpital Gui-de-Chauliac, CHU Montpellier, Institut des Neurosciences de Montpellier, INSERM, Université de Montpellier, Montpellier, France
| | - Sisse Rye Ostrowski
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Erik Sørensen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Ole B Pedersen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Mie Topholm Bruun
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - Kaspar R Nielsen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Nicole Soranzo
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
- Department of Human Genetics, the Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Willem H Ouwehand
- Department of Haematology, University of Cambridge, Cambridge, UK
- NHS Blood and Transplant, Cambridge Biomedical Campus, Cambridge, UK
- Department of Haematology, University College London Hospitals, London, UK
| | - David J Roberts
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Radcliffe Department of Medicine and National Health Service Blood and Transplant, Oxford, UK
- Department of Haematology and BRC Haematology Theme, Churchill Hospital, Headington, Oxford, UK
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- Department of Human Genetics, the Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | | | | | - Christopher J Earley
- Center for Restless Legs Syndrome, Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - William G Ondo
- Department of Neurology, Methodist Neurological Institute, Weill Cornell Medical School, Houston, TX, USA
| | - Lan Xiong
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Alex Desautels
- Centre d'Études Avancées en Médecine du Sommeil, Hôpital du Sacré-Cœur de Montréal, Montreal, Quebec, Canada
- Department of Neurosciences, Université de Montréal, Montreal, Quebec, Canada
| | - Markus Perola
- Clinical and Molecular Metabolism Research Program (CAMM), Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health and Welfare, National Institute for Health and Welfare, Helsinki, Finland
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine, Academy of Science of Czech Republic, Prague, Czech Republic
- First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University in Prague, Pilsen, Czech Republic
| | - Christian Dina
- L'institut du thorax, CNRS, INSERM, Nantes Université, Nantes, France
| | - Monika Stoll
- Department of Genetic Epidemiology, Institute for Human Genetics, University of Münster, Münster, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Wolfgang Lieb
- PopGen Biobank and Institute of Epidemiology, Christian Albrechts University Kiel, Kiel, Germany
| | - Alexandre F R Stewart
- John and Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Svati H Shah
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Christian Gieger
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Research Center for Cardiovascular Disease (DZHK), partner site Munich Heart Alliance, Hannover, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - David B Rye
- Department of Neurology, Emory University, Atlanta, GA, USA
| | - Guy A Rouleau
- The Neuro (Montreal Neurological Institute-Hospital), McGill University, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | | | | | | | | | - Emanuele Di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- Health Data Science Research Centre, Fondazione Human Technopole, Milan, Italy
| | - Konrad Oexle
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- Neurogenetic Systems Analysis Group, Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Mental Health (DZPG), partner site Munich-Augsburg, Munich-Augsburg, Germany
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Xiao G, Shi H, Lan Q, Hu J, Guan J, Liang Z, Zhou C, Huang Z, Chen Y, Zhou B. Association among attention-deficit hyperactivity disorder, restless legs syndrome, and peripheral iron status: a two-sample Mendelian randomization study. Front Psychiatry 2024; 15:1310259. [PMID: 38779543 PMCID: PMC11109751 DOI: 10.3389/fpsyt.2024.1310259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 03/19/2024] [Indexed: 05/25/2024] Open
Abstract
Background Epidemiological evidence indicates a high correlation and comorbidity between Attention Deficit Hyperactivity Disorder (ADHD) and Restless Legs Syndrome (RLS). Objective We aimed to investigate the causal relationship and shared genetic architecture between ADHD and RLS, as well as explore potential causal associations between both disorders and peripheral iron status. Methods We performed two-sample Mendelian randomization (MR) analyses using summary statistics from genome-wide meta-analyses of ADHD, RLS, and peripheral iron status (serum iron, ferritin, transferrin saturation, and total iron binding capacity). Additionally, we employed linkage disequilibrium score regression (LDSC) to assess genetic correlations between ADHD and RLS using genetic data. Results Our MR results supports a causal effect from ADHD (as exposure) to RLS (as outcome) (inverse variance weighted OR = 1.20, 95% CI: 1.08-1.34, p = 0.001). Conversely, we found no a causal association from RLS to ADHD (inverse variance weighted OR = 1.04, 95% CI: 0.99-1.09, p = 0.11). LDSC analysis did not detect a significant genetic correlation between RLS and ADHD (Rg = 0.3, SE = 0.16, p = 0.068). Furthermore, no evidence supported a causal relationship between peripheral iron deficiency and the RLS or ADHD onset. However, RLS may have been associated with a genetic predisposition to reduced serum ferritin levels (OR = 1.20, 95% CI: 1.00-1.04, p = 0.047). Conclusion This study suggests that ADHD is an independent risk factor for RLS, while RLS may confer a genetic predisposition to reduced serum ferritin levels. Limitations The GWAS summary data utilized originated from populations of European ancestry, limiting the generalizability of conclusions to other populations. Clinical implications The potential co-occurrence of RLS in individuals with ADHD should be considered during diagnosis and treatment. Moreover, iron supplementation may be beneficial for alleviating RLS symptoms.
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Affiliation(s)
- Guoqiang Xiao
- Department of Psychiatry and Psychology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hongting Shi
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiaoyu Lan
- Department of Psychiatry and Psychology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiajia Hu
- Department of Psychiatry and Psychology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jincheng Guan
- Department of Neurology, Longhua District People’s Hospital, Shenzhen, China
| | - Zhuoji Liang
- Department of Neurology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chumeng Zhou
- Medical Administration College, Guangzhou Medical University, Guangzhou, China
| | - Zitong Huang
- Department of Psychiatry and Psychology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yongyuan Chen
- Department of Neurology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Borong Zhou
- Department of Psychiatry and Psychology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Liang R, Zhu W, Gao Y, Zhao C, Zhang C, Xu L, Zuo Y, Lv Y, Zhao M, Li C, Gao J, Mei J, Gong X, Zhang L, Shen S, Yang C, Ren J, Liu Y, Wang Z, Wang P, Zhou J, Wang F, Wu J, Chen J, Zhu Y, Zhang C, Dong X, Han F. Clinical features, polysomnography, and genetics association study of restless legs syndrome in clinic based Chinese patients: A multicenter observational study. Sleep Med 2024; 117:123-130. [PMID: 38531167 DOI: 10.1016/j.sleep.2024.03.022] [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: 11/30/2023] [Revised: 03/15/2024] [Accepted: 03/15/2024] [Indexed: 03/28/2024]
Abstract
STUDY OBJECTIVES To systemically describe the clinical features, polysomnography (PSG) finding, laboratory tests and single-nucleotide polymorphisms (SNPs) in a clinic based Chinese primary restless legs syndrome (RLS) population. METHODS This observational study, conducted from January 2020 to October 2021 across 22 sleep labs in China, recruited 771 patients diagnosed with RLS following the 2014 RLSSG criteria. Clinical data, PSG testing, and laboratory examination and SNPs of patients with RLS were collected. A total of 32 SNPs in 24 loci were replicated using the Asian Screening Array chip, employing data from the Han Chinese Genomes Initiative as controls. RESULTS In this study with 771 RLS patients, 645 had primary RLS, and 617 has DNA available for SNP study. Among the 645 primary RLS, 59.7% were women. 33% had a family history of RLS, with stronger familial influence in early-onset cases. Clinical evaluations showed 10.4% had discomfort in body parts other than legs. PSG showed that 57.1% of RLS patients had periodic leg movement index (PLMI) of >5/h and 39.1% had PLMI >15/h, respectively; 73.8% of RLS patients had an Apnea-Hypopnea Index (AHI) > 5/h, and 45.3% had an AHI >15/h. The laboratory examinations revealed serum ferritin levels <75 ng/ml in 31.6%, and transferrin saturation (TSAT) of <45% in 88.7% of RLS patients. Seven new SNPs in 5 genes showed a significant allelic association with Chinese primary RLS, with one previously reported (BTBD9) and four new findings (TOX3, PRMT6, DCDC2C, NOS1). CONCLUSIONS Chinese RLS patients has specific characters in many aspects. A high family history with RLS not only indicates strong genetic influence, but also reminds us to consider the familial effect in the epidemiological study. Newly developed sequencing technique with large samples remains to be done.
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Affiliation(s)
- Ruiling Liang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, China
| | - Wenjun Zhu
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, China
| | - Yinghui Gao
- PKU-UPenn Sleep Center, Peking University International Hospital, Beijing, China
| | - Chen Zhao
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Chi Zhang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, China
| | - Liyue Xu
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, China
| | - Yuhua Zuo
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, China
| | - Yunhui Lv
- The Sleep Center, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China
| | - Mingming Zhao
- Department of Sleep Medicine, People's Hospital of Guangxi Zhuang Autonomous Region, Nan Ning, China
| | - Chenyu Li
- Department of Neurology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Jie Gao
- Department of Neurology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China
| | - Junhua Mei
- Department of Neurology, Wuhan First Hospital, Wuhan, China
| | - Xue Gong
- Department of Neurology, Wuhan First Hospital, Wuhan, China
| | - Lisan Zhang
- Department of Neurobiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shuxia Shen
- Department of Neurology, Yulin No.2 Hospital, Yulin, Shaanxi, China
| | - Chunbin Yang
- The Sleep Center, People's Hospital of JinChang, JinChang, Gansu, China
| | - Jilin Ren
- The Sleep Center, People's Hospital of JinChang, JinChang, Gansu, China
| | - Yan Liu
- The Sleep Center, WeiNan Central Hospital, WeiNan, Shaanxi, China
| | - Zan Wang
- The Sleep Center, Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Peipei Wang
- Sleep Medicine Department, Sanya Central Hospital, The Third People's Hospital of Hainan, China
| | - Jinxia Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Feng Wang
- The Sleep Center, General Hospital of the Yangtze River Shipping, Wuhan, Hubei, China
| | - Jun Wu
- Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Juan Chen
- Department of Neurology, The First Hospital of Changsha, Changsha, Hunan, China
| | - Yanmei Zhu
- Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chunrong Zhang
- Department of Neurology, Qinhuangdao HaiGang Hospital, Qinhuangdao, Hebei, China
| | - Xiaosong Dong
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, China
| | - Fang Han
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, China.
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Bikov A, Bailly S, Testelmans D, Fanfulla F, Pataka A, Bouloukaki I, Hein H, Dogas Z, Basoglu OK, Staats R, Parati G, Lombardi C, Grote L, Mihaicuta S. The relationship between periodic limb movement during sleep and dyslipidaemia in patients with obstructive sleep apnea. J Sleep Res 2024; 33:e14012. [PMID: 37596874 DOI: 10.1111/jsr.14012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 07/16/2023] [Accepted: 07/18/2023] [Indexed: 08/20/2023]
Abstract
Periodic limb movements during sleep and obstructive sleep apnea are both associated with increased sympathetic tone, and have been proposed as risk factors for heart diseases and, in particular, cardiovascular disease. As sympathetic system activation may lead to dyslipidaemia, periodic limb movements during sleep could be an additional risk factor for cardiovascular disease in patients with obstructive sleep apnea. The aim of the study was to determine whether the presence of periodic limb movements during sleep affects serum lipid levels in obstructive sleep apnea. Total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, non- high-density lipoprotein cholesterol and triglyceride levels were investigated in 4138 patients with obstructive sleep apnea in the European Sleep Apnea Database (ESADA) cohort, divided into those with periodic limb movements during sleep index ≥ 15 per hr (n = 628) and controls (n = 3510). ANCOVA adjusted for age, sex, body mass index, apnea-hypopnea index, alcohol intake, smoking status, diabetes, insomnia and study site was used to assess differences in lipids between periodic limb movements during sleep and controls. Patients with periodic limb movements during sleep (24% female, 54.4 ± 12.1 years, body mass index 31.9 ± 5.8 kg m-2 , apnea-hypopnea index 36.7 ± 25.4 per hr) had higher triglyceride (1.81 ± 1.04 versus 1.69 ± 0.90 mmol L-1 , p = 0.002) and lower high-density lipoprotein cholesterol (1.19 ± 0.34 versus 1.24 ± 0.37 mmol L-1 , p = 0.002) levels, whilst there was no difference in either total cholesterol (4.98 ± 1.10 versus 4.94 ± 1.07 mmol L-1 ), low-density lipoprotein cholesterol (3.04 ± 0.96 versus 2.98 ± 0.98 mmol L-1 ) or non- high-density lipoprotein cholesterol (3.78 ± 1.10 versus 3.70 ± 1.05 mmol L-1 ) concentrations (all p > 0.05). The results remained unchanged after most sensitivity analyses. Patients with obstructive sleep apnea with periodic limb movements during sleep had more prevalent cardiovascular disease (11% versus 6%, p < 0.01). Periodic limb movements during sleep in obstructive sleep apnea is associated with dyslipidaemia independently of important confounders. Our results highlight periodic limb movements during sleep as an additional risk factor for cardiovascular disease in obstructive sleep apnea.
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Affiliation(s)
- Andras Bikov
- Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Infection, Immunity & Respiratory Medicine, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Sebastien Bailly
- Grenoble Alpes University, Inserm, CHU Grenoble Alpes, Grenoble, France
| | - Dries Testelmans
- Department of Pneumology, University Hospitals Leuven, Leuven, Belgium
- Department of Chronic Diseases and Metabolism, Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Leuven, Belgium
| | - Francesco Fanfulla
- Sleep Medicine Unit - Istituti Clinici Scientifici Maugeri - Istituto Scientifico di Pavia e Montescano IRCCS, Pavia, Italy
| | - Athanasia Pataka
- Respiratory Failure Unit, School of Medicine, G Papanikolaou Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Izolde Bouloukaki
- Sleep Disorders Center, Department of Respiratory Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Holger Hein
- Private practice for Sleep Medicine and Sleep Disorders Center, Reinbek, Germany
| | - Zoran Dogas
- Sleep Medicine Center, Department of Neuroscience, University of Split School of Medicine, Split, Croatia
| | - Ozen K Basoglu
- Department of Respiratory Medicine, Faculty of Medicine, Ege University, Izmir, Turkey
| | - Richard Staats
- Thorax Department, Centro Hospitalar Universitario Lisboa Norte, Lisbon, Portugal
- Instituto de Saúde Ambiental - ISAMB; Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Gianfranco Parati
- Sleep Center-Department of Cardiology, IRCCS, Istituto Auxologico Italiano, San Luca Hospital, Milan, Italy
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Carolina Lombardi
- Sleep Center-Department of Cardiology, IRCCS, Istituto Auxologico Italiano, San Luca Hospital, Milan, Italy
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Ludger Grote
- Center for Sleep and Wake Disorders, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Pulmonary Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Stefan Mihaicuta
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases, Department of Pulmonology, "Victor Babes" University of Medicine and Pharmacy Timisoara, Timisoara, Romania
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Goodman MO, Faquih T, Paz V, Nagarajan P, Lane JM, Spitzer B, Maher M, Chung J, Cade BE, Purcell SM, Zhu X, Noordam R, Phillips AJK, Kyle SD, Spiegelhalder K, Weedon MN, Lawlor DA, Rotter JI, Taylor KD, Isasi CR, Sofer T, Dashti HS, Rutter MK, Redline S, Saxena R, Wang H. Genome-wide association analysis of composite sleep health scores in 413,904 individuals. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.02.24302211. [PMID: 38352337 PMCID: PMC10863010 DOI: 10.1101/2024.02.02.24302211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/19/2024]
Abstract
Recent genome-wide association studies (GWASs) of several individual sleep traits have identified hundreds of genetic loci, suggesting diverse mechanisms. Moreover, sleep traits are moderately correlated, and together may provide a more complete picture of sleep health, while also illuminating distinct domains. Here we construct novel sleep health scores (SHSs) incorporating five core self-report measures: sleep duration, insomnia symptoms, chronotype, snoring, and daytime sleepiness, using additive (SHS-ADD) and five principal components-based (SHS-PCs) approaches. GWASs of these six SHSs identify 28 significant novel loci adjusting for multiple testing on six traits (p<8.3e-9), along with 341 previously reported loci (p<5e-08). The heritability of the first three SHS-PCs equals or exceeds that of SHS-ADD (SNP-h2=0.094), while revealing sleep-domain-specific genetic discoveries. Significant loci enrich in multiple brain tissues and in metabolic and neuronal pathways. Post GWAS analyses uncover novel genetic mechanisms underlying sleep health and reveal connections to behavioral, psychological, and cardiometabolic traits.
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Affiliation(s)
- Matthew O Goodman
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology and Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Tariq Faquih
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology and Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Valentina Paz
- Instituto de Psicología Clínica, Facultad de Psicología, Universidad de la República, Montevideo, Uruguay
- MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Pavithra Nagarajan
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Jacqueline M Lane
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology and Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Brian Spitzer
- Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Matthew Maher
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Joon Chung
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology and Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology and Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Shaun M Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology and Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
- Department of Psychiatry, Brigham and Women’s Hospital, Boston, MA, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Andrew J. K. Phillips
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
| | - Simon D. Kyle
- Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Centre - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Michael N Weedon
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, UK
| | - Deborah A. Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology and Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hassan S Dashti
- Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Martin K Rutter
- Division of Endocrinology, Diabetes & Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology and Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Richa Saxena
- Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Neurology and Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
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Cederberg K, Sikes E, Mignot E. Perceptions of exercise and restless legs syndrome: Results from a nationwide survey. J Sleep Res 2024; 33:e13980. [PMID: 37353978 PMCID: PMC10748789 DOI: 10.1111/jsr.13980] [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: 03/29/2023] [Revised: 05/16/2023] [Accepted: 06/13/2023] [Indexed: 06/25/2023]
Abstract
Restless legs syndrome is a prevalent, sensorimotor sleep disorder temporarily relieved by movement, with evidence of symptomatic improvement with regular exercise. The present study describes perceptions of the effects of exercise on symptoms of restless legs syndrome. Participants (N = 528) completed a mixed-methods (i.e. numerical and narrative), nationwide survey including items assessing personal experiences with exercise and restless legs syndrome (both positive and negative), as well as restless legs syndrome diagnosis, restless legs syndrome severity, and demographic and clinical characteristics. Responses varied widely on specific experiences with exercise, but a higher percentage of participants indicated positive experiences with exercise than those who reported negative experiences (72%-40%, respectively) with exercise. Further, 54% of respondents reported that exercise only improves restless legs syndrome, while 24% reported exercise only worsens symptoms. Participants described that any abrupt change in exercise routine would almost always elicit restless legs syndrome symptoms (e.g. hiking for a long time, stopping an exercise routine), and that a consistent pattern of exercise improved restless legs syndrome symptoms with an overall beneficial effect on the frequency of symptomatic bouts. Participants further described time of day as impactful for their exercise experience, with > 50% indicating morning exercise improves symptoms and evening exercise worsens symptoms. Participants described several questions that they wanted answered regarding the evidence for exercise in restless legs syndrome and specific exercise prescription recommendations. The present study describes information crucial to the creation of stakeholder-informed health promotion programs for individuals with restless legs syndrome to optimize personalized treatment plans that could prevent and manage symptoms.
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Affiliation(s)
- K.L.J. Cederberg
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA USA
| | - E.M. Sikes
- Division of Occupational Therapy, Shenandoah University, Winchester, VA, USA
| | - E. Mignot
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA USA
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7
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Cederberg KLJ, Peris Sempere V, Lin L, Zhang J, Leary EB, Moore H, Morse AM, Blackman A, Schweitzer PK, Kotagal S, Bogan R, Kushida CA, Mignot E. Proteomic insights into the pathophysiology of periodic limb movements and restless legs syndrome. Sleep Health 2024; 10:S161-S169. [PMID: 37563071 PMCID: PMC10850434 DOI: 10.1016/j.sleh.2023.06.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/11/2023] [Accepted: 06/27/2023] [Indexed: 08/12/2023]
Abstract
OBJECTIVES We used a high-throughput assay of 5000 plasma proteins to identify biomarkers associated with periodic limb movements (PLM) and restless legs syndrome (RLS) in adults. METHODS Participants (n = 1410) of the Stanford Technology Analytics and Genomics in Sleep (STAGES) study had blood collected, completed a sleep questionnaire, and underwent overnight polysomnography with the scoring of PLMs. An aptamer-based array (SomaScan) was used to quantify 5000 proteins in plasma. A second cohort (n = 697) that had serum assayed using a previous iteration of SomaScan (1300 proteins) was used for replication and in a combined analysis (n = 2107). A 5% false discovery rate was used to assess significance. RESULTS Multivariate analyses in STAGES identified 68 proteins associated with the PLM index after correction for multiple testing (ie, base model). Most significantly decreased proteins were iron-related and included Hepcidin (LEAP-1), Ferritin, and Ferritin light chain. Most significantly increased proteins included RANTES, Cathepsin A, and SULT 1A3. Of 68 proteins significant in the base model, 17 were present in the 1300 panel, and 15 of 17 were replicated. The most significant proteins in the combined model were Hepcidin (LEAP-1), Cathepsin A, Ferritin, and RANTES. Exploration of proteins in RLS versus non-RLS identified Cathepsin Z, Heme oxygenase 2 (HO-2), Interleukin-17A (upregulated in the combined cohort), and Megalin (upregulated in STAGES only) although results were less significant than for proteins associated with PLM index. CONCLUSIONS These results confirm the association of PLM with low iron status and suggest the involvement of catabolic enzymes in PLM/RLS.
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Affiliation(s)
- Katie L J Cederberg
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Vicente Peris Sempere
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Ling Lin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Jing Zhang
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Eileen B Leary
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA; Axsome Therapeutics, New York, NY, USA
| | - Hyatt Moore
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Anne M Morse
- Division of Pediatric Sleep Medicine, Geisinger, Danville, PA, USA; Geisinger Commonwealth School of Medicine, Scranton, PA, USA
| | - Adam Blackman
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Paula K Schweitzer
- Sleep Medicine & Research Center, St. Luke's Hospital, Chesterfield, MO, USA
| | - Suresh Kotagal
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Richard Bogan
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Clete A Kushida
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Emmanuel Mignot
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
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8
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Tan BJW, Pang XL, Png S, Zhou ZD, Tan EK. Genetic Association Studies in Restless Legs Syndrome: Risk Variants & Ethnic Differences. Can J Neurol Sci 2024:1-16. [PMID: 38267254 DOI: 10.1017/cjn.2024.8] [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: 01/26/2024]
Abstract
BACKGROUND Genetic association studies have not produced consistent results in restless legs syndrome (RLS). OBJECTIVES To conduct a systematic review on genetic association studies in RLS to highlight the common gene variants and ethnic differences. METHODOLOGY We conducted Pubmed, Embase, and Cochrane search using terms "Genetic association studies" and "restless legs syndrome" for candidate gene-based studies. Out of the initial 43 studies, 18 case control studies (from 2012 to 2022) were included. Thirteen studies including 10794 Caucasian subjects (4984 RLS cases and 5810 controls) and five studies involving 2009 Asian subjects (796 RLS cases and 1213 controls) were tabulated and analyzed. In addition, three Genome-Wide Association Studies (GWAS) in Asians and Europeans/Caucasians were included for comparisons. RESULTS In the Asian population, gene variants in BST1, SNCA Rep1, IL1B, BTBD9, and MAP2K5/SKOR1 increased the risk of RLS (odds ratio range 1.2-2.8). In Caucasian populations, examples of variants that were associated with an increased risk of RLS (odds ratio range 1.1-1.9) include those in GABRR3 TOX3, ADH1B, HMOX1, GLO1, DCDC2C, BTBD9, SKOR1, and SETBP1. Based on the meta-analysis of GWAS studies, the rs9390170 variant in UTRN gene was identified to be a novel genetic marker for RLS in Asian cohorts, whereas rs113851554 in MEIS1 gene was a strong genetic factor among the >20 identified gene variants for RLS in Caucasian populations. CONCLUSION Our systemic review demonstrates that multiple genetic variants modulate risk of RLS in Caucasians (such as MEIS1 BTBD9, MAP2K5) and in Asians (such as BTBD9, MAP2K5, and UTRN).
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Affiliation(s)
- Brendan Jen-Wei Tan
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Xin-Ler Pang
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Sarah Png
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Zhi Dong Zhou
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- The Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- The Neuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore
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Akçimen F, Chia R, Saez-Atienzar S, Ruffo P, Rasheed M, Ross JP, Liao C, Ray A, Dion PA, Scholz SW, Rouleau GA, Traynor BJ. Genomic analysis identifies risk factors in restless legs syndrome. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.19.23300211. [PMID: 38168192 PMCID: PMC10760278 DOI: 10.1101/2023.12.19.23300211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Restless legs syndrome (RLS) is a neurological condition that causes uncomfortable sensations in the legs and an irresistible urge to move them, typically during periods of rest. The genetic basis and pathophysiology of RLS are incompletely understood. Here, we present a whole-genome sequencing and genome-wide association meta-analysis of RLS cases (n = 9,851) and controls (n = 38,957) in three population-based biobanks (All of Us, Canadian Longitudinal Study on Aging, and CARTaGENE). Genome-wide association analysis identified nine independent risk loci, of which eight had been previously reported, and one was a novel risk locus (LMX1B, rs35196838, OR = 1.14, 95% CI = 1.09-1.19, p-value = 2.2 × 10-9). A genome-wide, gene-based common variant analysis identified GLO1 as an additional risk gene (p-value = 8.45 × 10-7). Furthermore, a transcriptome-wide association study also identified GLO1 and a previously unreported gene, ELFN1. A genetic correlation analysis revealed significant common variant overlaps between RLS and neuroticism (rg = 0.40, se = 0.08, p-value = 5.4 × 10-7), depression (rg = 0.35, se = 0.06, p-value = 2.17 × 10-8), and intelligence (rg = -0.20, se = 0.06, p-value = 4.0 × 10-4). Our study expands the understanding of the genetic architecture of RLS and highlights the contributions of common variants to this prevalent neurological disorder.
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Affiliation(s)
- Fulya Akçimen
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Ruth Chia
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sara Saez-Atienzar
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Paola Ruffo
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Medical Genetics Laboratory, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy
| | - Memoona Rasheed
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jay P. Ross
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Calwing Liao
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Anindita Ray
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Patrick A. Dion
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
| | - Sonja W. Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Guy A. Rouleau
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
| | - Bryan J. Traynor
- Neuromuscular Diseases Research Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
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10
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Paz V, Dashti HS, Burgess S, Garfield V. Selection of genetic instruments in Mendelian randomisation studies of sleep traits. Sleep Med 2023; 112:342-351. [PMID: 37956646 PMCID: PMC7615498 DOI: 10.1016/j.sleep.2023.10.036] [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: 05/17/2023] [Revised: 10/22/2023] [Accepted: 10/30/2023] [Indexed: 11/15/2023]
Abstract
This review explores the criteria used for the selection of genetic instruments of sleep traits in the context of Mendelian randomisation studies. This work was motivated by the fact that instrument selection is the most important decision when designing a Mendelian randomisation study. As far as we are aware, no review has sought to address this to date, even though the number of these studies is growing rapidly. The review is divided into the following sections which are essential for genetic instrument selection: 1) Single-gene region vs polygenic analysis; 2) Polygenic analysis: biologically-vs statistically-driven approaches; 3) P-value; 4) Linkage disequilibrium clumping; 5) Sample overlap; 6) Type of exposure; 7) Total (R2) and average strength (F-statistic) metrics; 8) Number of single-nucleotide polymorphisms; 9) Minor allele frequency and palindromic variants; 10) Confounding. Our main aim is to discuss how instrumental choice impacts analysis and compare the strategies that Mendelian randomisation studies of sleep traits have used. We hope that our review will enable more researchers to take a more considered approach when selecting genetic instruments for sleep exposures.
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Affiliation(s)
- Valentina Paz
- Instituto de Psicología Clínica, Facultad de Psicología, Universidad de la República, Tristán Narvaja, 1674, Montevideo, 11200, Uruguay; MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
| | - Hassan S Dashti
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, 185 Cambridge Street, Boston, MA, 02114, USA; Broad Institute, 415 Main Street, Cambridge, MA, 02142, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Edwards 4-410C, Boston, MA, 02114, USA
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK; Department of Public Health and Primary Care, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, UK
| | - Victoria Garfield
- MRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
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11
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Chenini S, Barateau L, Dauvilliers Y. Restless legs syndrome: From clinic to personalized medicine. Rev Neurol (Paris) 2023; 179:703-714. [PMID: 37689536 DOI: 10.1016/j.neurol.2023.08.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/11/2023]
Abstract
Restless legs syndrome (RLS) is a common neurological sensorimotor disorder that impairs sleep, mood and quality of life. RLS is defined by an urge to move the legs at rest that increases in the evening and at night, and is frequently associated with metabolic and cardiovascular diseases. Symptoms frequency, age at RLS onset, severity, familial history and consequences of RLS vary widely between patients. A genetic susceptibility, iron deficiency, dopamine deregulation, and possible hypo-adenosinergic state may play a role in the pathophysiology of RLS. Polysomnographic recordings found often periodic leg movements during sleep and wakefulness in patients with RLS. RLS can be classified as primary or comorbid with major diseases: iron deficiency, renal, neurological, rheumatological and lung diseases. First-line treatments are low-dose dopamine agonists, and alpha-2-delta ligands depending on the clinical context, and second/third line opiates for pharmacoresistant forms of RLS. Augmentation syndrome is a serious complication of dopamine agonists and should be prevented by using the recommended low dose. Despite an increase in knowledge, RLS is still underdiagnosed, poorly recognized, resulting in substantial individual health burden and socioeconomic coast, and education is urgently needed to increase awareness of this disabling disorder.
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Affiliation(s)
- S Chenini
- National Reference Centre for Orphan Diseases Narcolepsy and Rare Hypersomnias, Sleep Unit, Department of Neurology, CHU Montpellier, University of Montpellier, Montpellier, France; Institute for Neurosciences of Montpellier (INM), University of Montpellier, INSERM, Montpellier, France.
| | - L Barateau
- National Reference Centre for Orphan Diseases Narcolepsy and Rare Hypersomnias, Sleep Unit, Department of Neurology, CHU Montpellier, University of Montpellier, Montpellier, France; Institute for Neurosciences of Montpellier (INM), University of Montpellier, INSERM, Montpellier, France
| | - Y Dauvilliers
- National Reference Centre for Orphan Diseases Narcolepsy and Rare Hypersomnias, Sleep Unit, Department of Neurology, CHU Montpellier, University of Montpellier, Montpellier, France; Institute for Neurosciences of Montpellier (INM), University of Montpellier, INSERM, Montpellier, France.
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12
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Loomis SJ, Sadhu N, Fisher E, Gafson AR, Huang Y, Yang C, Hughes EE, Marshall E, Herman A, John S, Runz H, Jia X, Bhangale T, Bronson PG. Genome-wide study of longitudinal brain imaging measures of multiple sclerosis progression across six clinical trials. Sci Rep 2023; 13:14313. [PMID: 37652990 PMCID: PMC10471679 DOI: 10.1038/s41598-023-41099-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 08/22/2023] [Indexed: 09/02/2023] Open
Abstract
While the genetics of MS risk susceptibility are well-described, and recent progress has been made on the genetics of disease severity, the genetics of disease progression remain elusive. We therefore investigated the genetic determinants of MS progression on longitudinal brain MRI: change in brain volume (BV) and change in T2 lesion volume (T2LV), reflecting progressive tissue loss and increasing disease burden, respectively. We performed genome-wide association studies of change in BV (N = 3401) and change in T2LV (N = 3513) across six randomized clinical trials from Biogen and Roche/Genentech: ADVANCE, ASCEND, DECIDE, OPERA I & II, and ORATORIO. Analyses were adjusted for randomized treatment arm, age, sex, and ancestry. Results were pooled in a meta-analysis, and were evaluated for enrichment of MS risk variants. Variant colocalization and cell-specific expression analyses were performed using published cohorts. The strongest peaks were in PTPRD (rs77321193-C/A, p = 3.9 × 10-7) for BV change, and NEDD4L (rs11398377-GC/G, p = 9.3 × 10-8) for T2LV change. Evidence of colocalization was observed for NEDD4L, and both genes showed increased expression in neuronal and/or glial populations. No association between MS risk variants and MRI outcomes was observed. In this unique, precompetitive industry partnership, we report putative regions of interest in the neurodevelopmental gene PTPRD, and the ubiquitin ligase gene NEDD4L. These findings are distinct from known MS risk genetics, indicating an added role for genetic progression analyses and informing drug discovery.
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13
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Woods S, Basco J, Clemens S. Effects of iron-deficient diet on sleep onset and spinal reflexes in a rodent model of Restless Legs Syndrome. Front Neurol 2023; 14:1160028. [PMID: 37273717 PMCID: PMC10234126 DOI: 10.3389/fneur.2023.1160028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/02/2023] [Indexed: 06/06/2023] Open
Abstract
Restless Legs Syndrome (RLS) is a common sensorimotor and a sleep disorder that affects 2.5-10% of the European and North American populations. RLS is also often associated with periodic leg movements during sleep (PLMS). Despite ample evidence of genetic contributions, the underlying mechanisms that elicit the sensory and motor symptoms remain unidentified. Clinically, RLS has been correlated with an altered central iron metabolism, particularly in the brain. While several animal models have been developed to determine the outcome of an altered iron homeostasis on brain function, the potential role of an altered iron homeostasis on sleep and sensorimotor circuits has not yet been investigated. Here, we utilize a mouse model to assess the effects of an iron-deficient (ID) but non-anemic state on sleep time and episodes, and sensorimotor reflexes in male and female mice. We found that animals on the ID diet displayed an increased expression of the transferrin receptor in the spinal cord, confirming the results of previous studies that focused only on the impact of ID in the brain. We also demonstrate that the ID diet reduced hematocrit levels compared to controls but not into the anemic range, and that animals on the ID diet exhibited RLS-like symptoms with regard to sleep onset and spinal cord reflex excitability. Interestingly, the effects on the spinal cord were stronger in females than in males, and the ID diet-induced behaviors were rescued by the return of the animals to the control diet. Taken together, these results demonstrate that diet-induced ID changes to CNS function are both inducible and reversible, and that they mimic the sleep and sensorimotor RLS symptoms experienced in the clinic. We therefore propose replacing the commonly used phrase "brain iron deficiency" (BID) hypothesis in the RLS research field with the term "iron deficiency in the central nervous system" (ID-CNS), to include possible effects of altered iron levels on spinal cord function.
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14
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Edelson JL, Schneider LD, Amar D, Brink-Kjaer A, Cederberg KL, Kutalik Z, Hagen EW, Peppard PE, Tempaku PF, Tufik S, Evans DS, Stone K, Tranah G, Cade B, Redline S, Haba-Rubio J, Heinzer R, Marques-Vidal P, Vollenweider P, Winkelmann J, Zou J, Mignot E. The genetic etiology of periodic limb movement in sleep. Sleep 2023; 46:zsac121. [PMID: 35670608 PMCID: PMC10091093 DOI: 10.1093/sleep/zsac121] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 12/12/2022] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Periodic limb movement in sleep is a common sleep phenotype characterized by repetitive leg movements that occur during or before sleep. We conducted a genome-wide association study (GWAS) of periodic limb movements in sleep (PLMS) using a joint analysis (i.e., discovery, replication, and joint meta-analysis) of four cohorts (MrOS, the Wisconsin Sleep Cohort Study, HypnoLaus, and MESA), comprised of 6843 total subjects. METHODS The MrOS study and Wisconsin Sleep Cohort Study (N = 1745 cases) were used for discovery. Replication in the HypnoLaus and MESA cohorts (1002 cases) preceded joint meta-analysis. We also performed LD score regression, estimated heritability, and computed genetic correlations between potentially associated traits such as restless leg syndrome (RLS) and insomnia. The causality and direction of the relationships between PLMS and RLS was evaluated using Mendelian randomization. RESULTS We found 2 independent loci were significantly associated with PLMS: rs113851554 (p = 3.51 × 10-12, β = 0.486), an SNP located in a putative regulatory element of intron eight of MEIS1 (2p14); and rs9369062 (p = 3.06 × 10-22, β = 0.2093), a SNP located in the intron region of BTBD9 (6p12); both of which were also lead signals in RLS GWAS. PLMS is genetically correlated with insomnia, risk of stroke, and RLS, but not with iron deficiency. Pleiotropy adjusted Mendelian randomization analysis identified a causal effect of RLS on PLMS. CONCLUSIONS Because PLMS is more common than RLS, PLMS may have multiple causes and additional studies are needed to further validate these findings.
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Affiliation(s)
- Jacob L Edelson
- Department of Biomedical Data Sciences, Stanford University School of Medicine, Palo Alto, CA 94603, USA
| | - Logan D Schneider
- Stanford/VA Alzheimer’s Research Center, Palo Alto, CA 94603, USA
- Stanford Department of Psychiatry and Behavioral Medicine, Center for Sleep Sciences and Medicine, Stanford University School of Medicine, Palo Alto, CA 94603, USA
| | - David Amar
- Stanford Department of Cardiovascular Medicine, Stanford University School of Medicine, Palo Alto, CA 94603, USA
| | - Andreas Brink-Kjaer
- Stanford Department of Psychiatry and Behavioral Medicine, Center for Sleep Sciences and Medicine, Stanford University School of Medicine, Palo Alto, CA 94603, USA
| | - Katie L Cederberg
- Stanford Department of Psychiatry and Behavioral Medicine, Center for Sleep Sciences and Medicine, Stanford University School of Medicine, Palo Alto, CA 94603, USA
| | - Zoltán Kutalik
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne 1010, Switzerland
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Erika W Hagen
- University of Wisconsin-Madison, School of Medicine and Public Health, Department of Population Health Sciences, Madison, WI 53726, USA
| | - Paul E Peppard
- University of Wisconsin-Madison, School of Medicine and Public Health, Department of Population Health Sciences, Madison, WI 53726, USA
| | | | - Sergio Tufik
- Department of Psychobiology, Universidade Federal de São Paulo, São Paulo 04021002, Brazil
| | - Daniel S Evans
- California Pacific Medical Center, Research Institute, San Francisco, CA 94107, USA
| | - Katie Stone
- California Pacific Medical Center, Research Institute, San Francisco, CA 94107, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA
| | - Greg Tranah
- California Pacific Medical Center, Research Institute, San Francisco, CA 94107, USA
| | - Brian Cade
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA 102115, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA 102115, USA
| | - Jose Haba-Rubio
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland
| | - Raphael Heinzer
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Center Munich (HMGU) Technical University of Munich, 81675 Munich, Germany
- School of Medicine, Institute of Human Genetics Synergy, Cluster of Neuroscience Munich, 52246 Munich, Germany
| | - James Zou
- Department of Biomedical Data Sciences, Stanford University School of Medicine, Palo Alto, CA 94603, USA
| | - Emmanuel Mignot
- Stanford Department of Psychiatry and Behavioral Medicine, Center for Sleep Sciences and Medicine, Stanford University School of Medicine, Palo Alto, CA 94603, USA
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15
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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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16
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Wong SG, Vorakunthada Y, Lee-Iannotti J, Johnson KG. Sleep-related motor disorders. HANDBOOK OF CLINICAL NEUROLOGY 2023; 195:383-397. [PMID: 37562879 DOI: 10.1016/b978-0-323-98818-6.00012-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Sleep-related motor disorders include non-rapid-eye movement (NREM) sleep parasomnias, rapid-eye movement (REM), sleep parasomnias including REM sleep behavior disorder (RBD), isolated motor phenomena in sleep, and periodic limb movement disorder. Restless legs syndrome (RLS) occurs while awake but is closely related to sleep and has a circadian pattern. The pontine sublaterodorsal tegmental nucleus has an important role in aligning motor control with sleep states, and dysfunction in this region can explain motor activities including cataplexy and loss of REM atonia seen in REM sleep behavior disorder. This chapter begins with a review of motor control in sleep. The rest of the chapter summarizes the clinical presentation, epidemiology, differential and treatment of NREM, REM, and isolated sleep-related motor disorders as well as restless legs syndrome.
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Affiliation(s)
- Stephanie G Wong
- Department of Medicine, University of Arizona College of Medicine, Phoenix, AZ, United States
| | - Yuttiwat Vorakunthada
- Department of Medicine, University of Arizona College of Medicine, Phoenix, AZ, United States
| | - Joyce Lee-Iannotti
- Department of Medicine, University of Arizona College of Medicine, Phoenix, AZ, United States
| | - Karin G Johnson
- Department of Neurology, University of Massachusetts Chan School of Medicine-Baystate, Springfield, MA, United States; Institute for Healthcare Delivery and Population Science, University of Massachusetts Chan School of Medicine-Baystate, Springfield, MA, United States.
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17
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Silvani A, Ghorayeb I, Manconi M, Li Y, Clemens S. Putative Animal Models of Restless Legs Syndrome: A Systematic Review and Evaluation of Their Face and Construct Validity. Neurotherapeutics 2023; 20:154-178. [PMID: 36536233 PMCID: PMC10119375 DOI: 10.1007/s13311-022-01334-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/02/2022] [Indexed: 12/24/2022] Open
Abstract
Restless legs syndrome (RLS) is a sensorimotor disorder that severely affects sleep. It is characterized by an urge to move the legs, which is often accompanied by periodic limb movements during sleep. RLS has a high prevalence in the population and is usually a life-long condition. While its origins remain unclear, RLS is initially highly responsive to treatment with dopaminergic agonists that target D2-like receptors, in particular D2 and D3, but the long-term response is often unsatisfactory. Over the years, several putative animal models for RLS have been developed, mainly based on the epidemiological and neurochemical link with iron deficiency, treatment efficacy of D2-like dopaminergic agonists, or genome-wide association studies that identified risk factors in the patient population. Here, we present the first systematic review of putative animal models of RLS, provide information about their face and construct validity, and report their role in deciphering the underlying pathophysiological mechanisms that may cause or contribute to RLS. We propose that identifying the causal links between genetic risk factors, altered organ functions, and changes to molecular pathways in neural circuitry will eventually lead to more effective new treatment options that bypass the side effects of the currently used therapeutics in RLS, especially for long-term therapy.
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Affiliation(s)
- Alessandro Silvani
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - University of Bologna, Ravenna Campus, Ravenna, Italy
| | - Imad Ghorayeb
- Département de Neurophysiologie Clinique, Pôle Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France
- Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287, Université de Bordeaux, Bordeaux, France
- Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287, CNRS, Bordeaux, France
| | - Mauro Manconi
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, EOC, Ospedale Civico, Lugano, Switzerland
- Department of Neurology, University Hospital, Inselspital, Bern, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Yuqing Li
- Department of Neurology, College of Medicine, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Stefan Clemens
- Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC, USA.
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18
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Jiménez-Jiménez FJ, Alonso-Navarro H, García-Martín E, Agúndez JAG. Inflammatory factors and restless legs syndrome: A systematic review and meta-analysis. Sleep Med Rev 2022; 68:101744. [PMID: 36634410 DOI: 10.1016/j.smrv.2022.101744] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/15/2022] [Accepted: 12/25/2022] [Indexed: 01/01/2023]
Abstract
The possible role of inflammatory factors in the pathogenesis of restless legs syndrome (RLS) is not well understood. Because several inflammatory diseases have shown an association with the risk for RLS, the measurement of serum/plasma levels of inflammatory factors has been a matter of a scarce number of studies. We performed a systematic review and a meta-analysis to assess the possible association of serum/plasma levels of inflammatory markers with the risk for RLS. Our results showed a significant trend towards higher serum/plasma C reactive protein (CRP) levels and higher neutrophil-to-lymphocyte (NLR) ratio in patients diagnosed with RLS than in controls, although statistical significance disappeared after applying the random-effects model. Further studies are needed to confirm the suggested possible role of inflammatory factors in the pathogenesis of RLS.
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Affiliation(s)
| | | | - Elena García-Martín
- Universidad de Extremadura, University Institute of Molecular Pathology Biomarkers. ARADyAL Instituto de Salud Carlos III, Cáceres, Spain
| | - José A G Agúndez
- Universidad de Extremadura, University Institute of Molecular Pathology Biomarkers. ARADyAL Instituto de Salud Carlos III, Cáceres, Spain
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19
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Jiménez-Jiménez FJ, Gómez-Tabales J, Alonso-Navarro H, Rodríguez C, Turpín-Fenoll L, Millán-Pascual J, Álvarez I, Pastor P, Calleja M, García-Ruiz R, Navarro-Muñoz S, Recio-Bermejo M, Plaza-Nieto JF, García-Albea E, García-Martín E, Agúndez JAG. LAG3/CD4 Genes Variants and the Risk for Restless Legs Syndrome. Int J Mol Sci 2022; 23:ijms232314795. [PMID: 36499121 PMCID: PMC9739762 DOI: 10.3390/ijms232314795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/08/2022] [Accepted: 11/23/2022] [Indexed: 12/02/2022] Open
Abstract
According to several studies, inflammatory factors could be related to the pathogenesis of idiopathic restless legs syndrome (RLS). In addition, RLS and Parkinson's disease (PD) have shown a possible relationship, and recent studies have shown an association between CD4 rs1922452 and CD4 rs951818 single nucleotide variants (SNVs) and the risk for PD. For these reasons, we investigated the possible association between common variants in the LAG3/CD4 genes (which encoded proteins involved in inflammatory and autoimmune responses) and the risk for RLS in a Caucasian Spanish population. We assessed the frequencies of CD4 rs1922452, CD4 rs951818, and LAG3 rs870849 genotypes and allelic variants in 285 patients with idiopathic RLS and 350 healthy controls using a specific TaqMan-based qPCR assay. We also analyzed the possible influence of the genotypes' frequencies on several variables, including age at onset of RLS, gender, family history of RLS, and response to drugs commonly used in the treatment of RLS. We found a lack of association between the frequencies of genotypes and allelic variants of the 3 SNVs studied and the risk of RLS, and a weak though significant association between the CD4 rs1922452 GG genotype and an older age at onset of RLS. With the exception of this association, our findings suggest that common SNVs in the CD4/LAG3 genes are not associated with the risk of developing idiopathic RLS in Caucasian Spanish people.
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Affiliation(s)
- Félix Javier Jiménez-Jiménez
- Section of Neurology, Hospital Universitario del Sureste, E28500 Arganda del Rey, Spain
- Correspondence: or ; Tel.: +34-636-968-395
| | - Javier Gómez-Tabales
- ARADyAL Instituto de Salud Carlos III, University Institute of Molecular Pathology Biomarkers, Universidad de Extremadura, E10003 Cáceres, Spain
| | | | - Christopher Rodríguez
- ARADyAL Instituto de Salud Carlos III, University Institute of Molecular Pathology Biomarkers, Universidad de Extremadura, E10003 Cáceres, Spain
| | - Laura Turpín-Fenoll
- Section of Neurology, Hospital La Mancha-Centro, E13600 Alcázar de San Juan, Spain
| | - Jorge Millán-Pascual
- Section of Neurology, Hospital La Mancha-Centro, E13600 Alcázar de San Juan, Spain
| | - Ignacio Álvarez
- Fundació per la Recerca Biomèdica i Social Mútua de Terrassa, E08221 Terrassa, Spain
- Movement Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, E08221 Terrassa, Spain
| | - Pau Pastor
- Fundació per la Recerca Biomèdica i Social Mútua de Terrassa, E08221 Terrassa, Spain
- Movement Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, E08221 Terrassa, Spain
- Unit of Neurodegenerative Diseases, Department of Neurology, The Germans Trias i Pujol Research Institute (IGTP), University Hospital Germans Trias i Pujol, E08916 Badalona, Spain
| | - Marisol Calleja
- Section of Neurology, Hospital Universitario del Sureste, E28500 Arganda del Rey, Spain
| | - Rafael García-Ruiz
- Section of Neurology, Hospital La Mancha-Centro, E13600 Alcázar de San Juan, Spain
| | | | - Marta Recio-Bermejo
- Section of Neurology, Hospital La Mancha-Centro, E13600 Alcázar de San Juan, Spain
| | | | - Esteban García-Albea
- Department of Medicine-Neurology, Universidad de Alcalá, E28801 Alcalá de Henares, Spain
| | - Elena García-Martín
- ARADyAL Instituto de Salud Carlos III, University Institute of Molecular Pathology Biomarkers, Universidad de Extremadura, E10003 Cáceres, Spain
| | - José A. G. Agúndez
- ARADyAL Instituto de Salud Carlos III, University Institute of Molecular Pathology Biomarkers, Universidad de Extremadura, E10003 Cáceres, Spain
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20
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Abstract
PURPOSE OF REVIEW This review examines recent research on the prevalence and importance of iron deficiency in blood donors, and on efforts to mitigate it. RECENT FINDINGS Premenopausal females, teenagers, and high-frequency donors are at the highest risk for donation-induced iron deficiency, in both high-resource and low-resource settings. The physiology relating iron stores to hemoglobin levels and low hemoglobin deferral is well elucidated in blood donor populations, yet the clinical effects attributable to iron loss in the absence of anemia are challenging to identify. Expanded adoption of ferritin testing is improving donor management but may cause decreases in the blood supply from temporary donor loss. The potential for personalized donor management is emerging with development of computational models that predict individual interdonation intervals that aim to optimize blood collected from each donor while minimizing low hemoglobin deferrals. SUMMARY Measures to reduce iron deficiency are available that can be deployed on a standardized or, increasingly, personalized basis. Blood centers, regulators, and donors should continue to evaluate different tactics for addressing this problem, to obtain a balanced approach that is optimal for maintaining adequate collections while safeguarding donor health.
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Affiliation(s)
| | - Alan E. Mast
- Versiti Blood Research Institute, Milwaukee, WI
- Department of Cell Biology, Neurobiology, and Anatomy, Medical College of Wisconsin, Milwaukee, WI
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21
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Erikstrup C, Sørensen E, Nielsen KR, Bruun MT, Petersen MS, Rostgaard K, Thørner LW, Larsen M, Mikkelsen S, Dinh KM, Schwinn M, Rigas AS, Didriksen M, Dowsett J, von Stemann JH, Brodersen T, Paulsen IW, Hindhede L, Sækmose SG, Kaspersen KA, Boldsen JK, Kjerulff B, Werge T, Brunak S, Banasik K, Hansen TF, Ullum H, Hjalgrim H, Ostrowski SR, Pedersen OB. Cohort Profile: The Danish Blood Donor Study. Int J Epidemiol 2022:6747973. [PMID: 36194120 DOI: 10.1093/ije/dyac194] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 09/27/2022] [Indexed: 11/12/2022] Open
Affiliation(s)
- Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Erik Sørensen
- Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Kaspar R Nielsen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | - Mie T Bruun
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - Mikkel S Petersen
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Klaus Rostgaard
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.,Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Lise W Thørner
- Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Margit Larsen
- Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Susan Mikkelsen
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Khoa M Dinh
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Michael Schwinn
- Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Andreas S Rigas
- Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Maria Didriksen
- Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Joseph Dowsett
- Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jakob H von Stemann
- Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Thorsten Brodersen
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Isabella W Paulsen
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Lotte Hindhede
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Susanne G Sækmose
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Kathrine A Kaspersen
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark.,Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus, Denmark
| | - Jens K Boldsen
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark.,Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus, Denmark
| | - Bertram Kjerulff
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark.,Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus, Denmark
| | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Copenhagen, Denmark.,LF Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,iPSYCH Initiative, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thomas F Hansen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Danish Headache Center, Department of Neurology, Copenhagen University Hospital, Glostrup, Denmark
| | | | - Henrik Hjalgrim
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.,Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Haematology, Copenhagen University Hospital, Copenhagen, Denmark
| | - Sisse R Ostrowski
- Department of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole B Pedersen
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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22
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Schormair B, Zhao C, Salminen AV, Oexle K, Winkelmann J. Reassessment of candidate gene studies for idiopathic restless legs syndrome in a large genome-wide association study dataset of European ancestry. Sleep 2022; 45:6576194. [PMID: 35486972 PMCID: PMC9366638 DOI: 10.1093/sleep/zsac098] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/06/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Study Objectives
Several candidate gene studies have been published for idiopathic restless legs syndrome (RLS) in populations of European ancestry, but the reported associations have not been confirmed in independent samples. Our aim was to reassess these findings in a large case–control dataset in order to evaluate their validity.
Methods
We screened PubMed for RLS candidate gene studies. We used the genome-wide association study (GWAS) dataset of the International EU-RLS-GENE Consortium as our replication sample, which provided genome-wide single-variant association data based on at most 17 220 individuals of European ancestry. We performed additional gene-based tests using the software MAGMA and assessed the power of our study using the genpwr R package.
Results
We identified 14 studies conducted in European samples which assessed 45 variants in 27 genes of which 5 variants had been reported as significantly associated. None of these individual variants were replicated in our GWAS-based reassessment (nominal p > 0.05) and gene-based tests for the respective five genes ADH1B, GABRR3, HMOX1, MAOA, and VDR, were also nonsignificant (nominal p > 0.05). Our replication dataset was well powered to detect the reported effects, even when adjusting for effect size overestimation due to winner’s curse. Power estimates were close to 100% for all variants.
Conclusion
In summary, none of the significant single-variant associations from candidate gene studies were confirmed in our GWAS dataset. Therefore, these associations were likely false positive. Our observations emphasize the need for large sample sizes and stringent significance thresholds in future association studies for RLS.
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Affiliation(s)
- Barbara Schormair
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH) , Neuherberg , Germany
- Institute of Human Genetics, School of Medicine, Technical University of Munich , Munich , Germany
| | - Chen Zhao
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH) , Neuherberg , Germany
| | - Aaro V Salminen
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH) , Neuherberg , Germany
| | - Konrad Oexle
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH) , Neuherberg , Germany
- Institute of Human Genetics, School of Medicine, Technical University of Munich , Munich , Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH) , Neuherberg , Germany
- Institute of Human Genetics, School of Medicine, Technical University of Munich , Munich , Germany
- Chair of Neurogenetics, School of Medicine, Technical University of Munich , Munich , Germany
- Munich Cluster for Systems Neurology (SyNergy) , Munich , Germany
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Akçimen F, Dion PA, Rouleau GA. Progress in the genetics of restless legs syndrome: the path ahead in the era of whole-genome sequencing. Sleep 2022; 45:6604470. [PMID: 35675840 PMCID: PMC9366632 DOI: 10.1093/sleep/zsac136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Fulya Akçimen
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Montréal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
| | - Patrick A Dion
- Montréal Neurological Institute-Hospital, McGill University, Montréal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
| | - Guy A Rouleau
- Corresponding author. Guy A. Rouleau, Department of Neurology and Neurosurgery, McGill University, Montréal, QC H3A 2B4, Canada.
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Salminen AV, Clemens S, García-Borreguero D, Ghorayeb I, Li Y, Manconi M, Ondo W, Rye D, Siegel JM, Silvani A, Winkelman JW, Allen RP, Ferré S. Consensus guidelines on the construct validity of rodent models of restless legs syndrome. Dis Model Mech 2022; 15:dmm049615. [PMID: 35946581 PMCID: PMC9393041 DOI: 10.1242/dmm.049615] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/10/2022] [Indexed: 12/16/2022] Open
Abstract
Our understanding of the causes and natural course of restless legs syndrome (RLS) is incomplete. The lack of objective diagnostic biomarkers remains a challenge for clinical research and for the development of valid animal models. As a task force of preclinical and clinical scientists, we have previously defined face validity parameters for rodent models of RLS. In this article, we establish new guidelines for the construct validity of RLS rodent models. To do so, we first determined and agreed on the risk, and triggering factors and pathophysiological mechanisms that influence RLS expressivity. We then selected 20 items considered to have sufficient support in the literature, which we grouped by sex and genetic factors, iron-related mechanisms, electrophysiological mechanisms, dopaminergic mechanisms, exposure to medications active in the central nervous system, and others. These factors and biological mechanisms were then translated into rodent bioequivalents deemed to be most appropriate for a rodent model of RLS. We also identified parameters by which to assess and quantify these bioequivalents. Investigating these factors, both individually and in combination, will help to identify their specific roles in the expression of rodent RLS-like phenotypes, which should provide significant translational implications for the diagnosis and treatment of RLS.
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Affiliation(s)
- Aaro V. Salminen
- Institute of Neurogenomics, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | - Stefan Clemens
- Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA
| | | | - Imad Ghorayeb
- Département de Neurophysiologie Clinique, Pôle Neurosciences Cliniques, CHU de Bordeaux, 33076 Bordeaux, France
- Université de Bordeaux, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287, 33076 Bordeaux, France
- CNRS, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, UMR 5287, 33076 Bordeaux, France
| | - Yuqing Li
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Mauro Manconi
- Sleep Medicine Unit, Regional Hospital of Lugano, Neurocenter of Southern Switzerland, 6900 Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, 6900 Lugano, Switzerland
- Department of Neurology, University Hospital Inselspital, 3010 Bern, Switzerland
| | - William Ondo
- Houston Methodist Hospital Neurological Institute, Weill Cornell Medical School, Houston, TX 77070, USA
| | - David Rye
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Jerome M. Siegel
- Neuropsychiatric Institute and Brain Research Institute, University of California, Los Angeles, CA 90095, USA
- Neurobiology Research, Veterans Administration Greater Los Angeles Healthcare System, North Hills, CA 91343, USA
| | - Alessandro Silvani
- Department of Biomedical and Neuromotor Sciences Alma Mater Studiorum, Università di Bologna, 48121 Ravenna Campus, Ravenna, Italy
| | - John W. Winkelman
- Departments of Psychiatry and Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Richard P. Allen
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21224, USA
| | - Sergi Ferré
- Integrative Neurobiology Section, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
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Sonti S, Grant SFA. Leveraging genetic discoveries for sleep to determine causal relationships with common complex traits. Sleep 2022; 45:6652497. [PMID: 35908176 PMCID: PMC9548675 DOI: 10.1093/sleep/zsac180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 07/16/2022] [Indexed: 01/04/2023] Open
Abstract
Abstract
Sleep occurs universally and is a biological necessity for human functioning. The consequences of diminished sleep quality impact physical and physiological systems such as neurological, cardiovascular, and metabolic processes. In fact, people impacted by common complex diseases experience a wide range of sleep disturbances. It is challenging to uncover the underlying molecular mechanisms responsible for decreased sleep quality in many disease systems owing to the lack of suitable sleep biomarkers. However, the discovery of a genetic component to sleep patterns has opened a new opportunity to examine and understand the involvement of sleep in many disease states. It is now possible to use major genomic resources and technologies to uncover genetic contributions to many common diseases. Large scale prospective studies such as the genome wide association studies (GWAS) have successfully revealed many robust genetic signals associated with sleep-related traits. With the discovery of these genetic variants, a major objective of the community has been to investigate whether sleep-related traits are associated with disease pathogenesis and other health complications. Mendelian Randomization (MR) represents an analytical method that leverages genetic loci as proxy indicators to establish causal effect between sleep traits and disease outcomes. Given such variants are randomly inherited at birth, confounding bias is eliminated with MR analysis, thus demonstrating evidence of causal relationships that can be used for drug development and to prioritize clinical trials. In this review, we outline the results of MR analyses performed to date on sleep traits in relation to a multitude of common complex diseases.
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Affiliation(s)
- Shilpa Sonti
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia , Philadelphia, PA , USA
| | - Struan F A Grant
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia , Philadelphia, PA , USA
- Department of Genetics, University of Pennsylvania , Philadelphia, PA , USA
- Institute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine , Philadelphia, PA , USA
- Division of Human Genetics and Endocrinology, Children’s Hospital of Philadelphia , Philadelphia, PA , USA
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26
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Khachatryan SG, Ferri R, Fulda S, Garcia-Borreguero D, Manconi M, Muntean ML, Stefani A. Restless legs syndrome: Over 50 years of European contribution. J Sleep Res 2022; 31:e13632. [PMID: 35808955 PMCID: PMC9542244 DOI: 10.1111/jsr.13632] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 11/28/2022]
Abstract
Restless legs syndrome (RLS) is a sensorimotor neurological disorder characterised by an urge to move the limbs with a circadian pattern (occurring in the evening/at night), more prominent at rest, and relieved with movements. RLS is one of the most prevalent sleep disorders, occurring in 5%-10% of the European population. Thomas Willis first described RLS clinical cases already in the 17th century, and Karl-Axel Ekbom described the disease as a modern clinical entity in the 20th century. Despite variable severity, RLS can markedly affect sleep (partly through the presence of periodic leg movements) and quality of life, with a relevant socio-economic impact. Thus, its recognition and treatment are essential. However, screening methods present limitations and should be improved. Moreover, available RLS treatment options albeit providing sustained relief to many patients are limited in number. Additionally, the development of augmentation with dopamine agonists represents a major treatment problem. A better understanding of RLS pathomechanisms can bring to light novel treatment possibilities. With emerging new avenues of research in pharmacology, imaging, genetics, and animal models of RLS, this is an interesting and constantly growing field of research. This review will update the reader on the current state of RLS clinical practice and research, with a special focus on the contribution of European researchers.
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Affiliation(s)
- Samson G Khachatryan
- Department of Neurology and Neurosurgery, National Institute of Health, Yerevan, Armenia.,Sleep Disorders Center, Somnus Neurology Clinic, Yerevan, Armenia
| | | | - Stephany Fulda
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ospedale Civico, Lugano, Switzerland
| | | | - Mauro Manconi
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Ospedale Civico, Lugano, Switzerland.,Department of Neurology, University Hospital, Inselspital, Bern, Switzerland
| | - Maria-Lucia Muntean
- Center for Parkinson's Disease and Movement Disorders, Paracelsus-Elena Klinik, Kassel, Germany
| | - Ambra Stefani
- Sleep Disorders Clinic, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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27
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Tilch E, Schormair B, Zhao C, Högl B, Stefani A, Berger K, Trenkwalder C, Bachmann CG, Hornyak M, Fietze I, Müller-Nurasyid M, Peters A, Herms S, Nöthen MM, Müller-Myhsok B, Oexle K, Winkelmann J. Exomechip-based rare variant association study in restless legs syndrome. Sleep Med 2022; 94:26-30. [DOI: 10.1016/j.sleep.2022.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/17/2022] [Accepted: 04/04/2022] [Indexed: 11/16/2022]
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Weber FC, Danker-Hopfe H, Dogan-Sander E, Frase L, Hansel A, Mauche N, Mikutta C, Nemeth D, Richter K, Schilling C, Sebestova M, Spath MM, Nissen C, Wetter TC. Restless Legs Syndrome Prevalence and Clinical Correlates Among Psychiatric Inpatients: A Multicenter Study. Front Psychiatry 2022; 13:846165. [PMID: 35370821 PMCID: PMC8967168 DOI: 10.3389/fpsyt.2022.846165] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/18/2022] [Indexed: 11/13/2022] Open
Abstract
Background There are only limited reports on the prevalence of restless legs syndrome (RLS) in patients with psychiatric disorders. The present study aimed to evaluate the prevalence and clinical correlates in psychiatric inpatients in Germany and Switzerland. Methods This is a multicenter cross-sectional study of psychiatric inpatients with an age above 18 years that were diagnosed and evaluated face-to-face using the International RLS Study Group criteria (IRLSSG) and the International RLS severity scale (IRLS). In addition to sociodemographic and biometric data, sleep quality and mood were assessed using the Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), the Epworth Sleepiness Scale (ESS), and the Patient Health Questionnaire (PHQ-9). In addition to univariate statistics used to describe and statistically analyze differences in variables of interest between patients with and without RLS, a logistic model was employed to identify predictors for the occurrence of RLS. Results The prevalence of RLS in a sample of 317 psychiatric inpatients was 16.4%, and 76.9% of these were diagnosed with RLS for the first time. RLS severity was moderate to severe (IRLS ± SD: 20.3 ± 8.4). The prevalences in women (p = 0.0036) and in first-degree relatives with RLS (p = 0.0108) as well as the body mass index (BMI, p = 0.0161) were significantly higher among patients with RLS, while alcohol consumption was significantly lower in the RLS group. With the exception of atypical antipsychotics, treatment with psychotropic drugs was not associated with RLS symptoms. Regarding subjective sleep quality and mood, scores of the PSQI (p = 0.0007), ISI (p = 0.0003), and ESS (p = 0.0005) were higher in patients with RLS, while PHQ-9 scores were not different. A logistic regression analysis identified gender (OR 2.67; 95% CI [1.25; 5.72]), first-degree relatives with RLS (OR 3.29; 95% CI [1.11; 9.73], ESS score (OR 1.09; 95% CI [1.01; 1.17]), and rare alcohol consumption (OR 0.45; 95% CI [0.22; 0.94] as predictors for RLS. Conclusions Clinically significant RLS had a high prevalence in psychiatric patients. RLS was associated with higher BMI, impaired sleep quality, and lower alcohol consumption. A systematic assessment of restless legs symptoms might contribute to improve the treatment of psychiatric patients.
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Affiliation(s)
- Franziska C. Weber
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Heidi Danker-Hopfe
- Charité-Universitätsmedizin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Competence Center of Sleep Medicine Berlin, Berlin, Germany
| | - Ezgi Dogan-Sander
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Lukas Frase
- Department of Psychiatry and Psychotherapy, Medical Center, University of Freiburg – Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Anna Hansel
- Department of Psychiatry and Psychotherapy, Medical Center, University of Freiburg – Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Nicole Mauche
- Department of Psychiatry and Psychotherapy, University Leipzig, Medical Faculty, Leipzig, Germany
| | - Christian Mikutta
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Privatklinik Meiringen, Meiringen, Switzerland
| | - Diana Nemeth
- Department of Psychiatry and Psychotherapy, Paracelsus Medical University, Nuremberg, Germany
| | - Kneginja Richter
- Department of Psychiatry and Psychotherapy, Paracelsus Medical University, Nuremberg, Germany
| | - Claudia Schilling
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Marian M. Spath
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Thomas C. Wetter
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
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29
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Wang XX, Feng Y, Tan EK, Ondo WG, Wu YC. Stroke-related restless legs syndrome: epidemiology, clinical characteristics and pathophysiology. Sleep Med 2022; 90:238-248. [DOI: 10.1016/j.sleep.2022.02.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/23/2022] [Accepted: 02/01/2022] [Indexed: 12/24/2022]
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Jiménez-Jiménez FJ, Ayuso P, Alonso-Navarro H, Calleja M, Díez-Fairén M, Álvarez I, Pastor P, Plaza-Nieto JF, Navarro-Muñoz S, Turpín-Fenoll L, Millán-Pascual J, Recio-Bermejo M, García-Ruiz R, García-Albea E, Agúndez JAG, García-Martín E. Serum Trace Elements Concentrations in Patients with Restless Legs Syndrome. Antioxidants (Basel) 2022; 11:antiox11020272. [PMID: 35204155 PMCID: PMC8868060 DOI: 10.3390/antiox11020272] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 01/26/2022] [Indexed: 12/04/2022] Open
Abstract
Increased brain and serum zinc levels in patients with idiopathic restless legs syndrome (idiopathic RLS or iRLS) were described when compared with controls, suggesting a possible role of zinc in the pathogenesis of this disease. However, serum magnesium, calcium, manganese, iron, and copper levels of RLS patients were similar to controls, suggesting a specific impairment of zinc-dependent metabolism in RLS. The aim of this study is to assess the serum concentrations of trace elements involved in oxidative stress or causing peripheral nerve toxicity in a large series of patients with iRLS and controls. We determined serum levels of iron, copper, manganese, zinc, magnesium, selenium, calcium, aluminium, lead, cadmium, arsenic and mercury in 100 patients diagnosed with iRLS and in 110 age- and sex-matched controls using Inductively Coupled Plasma Mass Spectrometry. Serum copper, magnesium, selenium, and calcium concentrations were significantly higher in RLS patients than in controls. These differences were observed both in men and women. There were no major correlations between serum trace metal concentrations and age at onset of RLS or RLS severity, nor was there any association with a family history of RLS or drug response. This study shows an association between increased serum concentrations of copper, magnesium, selenium, and calcium with RLS in a Spanish Caucasian population and does not confirm the previously reported increase in serum zinc concentrations in patients suffering from this disease, suggesting that the different accuracy of the analytical methods used could have influenced the inconsistent results found in the literature.
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Affiliation(s)
- Félix Javier Jiménez-Jiménez
- Section of Neurology, Hospital Universitario del Sureste, 28500 Arganda del Rey, Spain; (H.A.-N.); (M.C.); (J.F.P.-N.)
- Correspondence: (F.J.J.-J.); (J.A.G.A.)
| | - Pedro Ayuso
- University Institute of Molecular Pathology Biomarkers, ARADyAL Instituto de Salud Carlos III, Universidad de Extremadura, 10071 Cáceres, Spain; (P.A.); (E.G.-M.)
| | - Hortensia Alonso-Navarro
- Section of Neurology, Hospital Universitario del Sureste, 28500 Arganda del Rey, Spain; (H.A.-N.); (M.C.); (J.F.P.-N.)
| | - Marisol Calleja
- Section of Neurology, Hospital Universitario del Sureste, 28500 Arganda del Rey, Spain; (H.A.-N.); (M.C.); (J.F.P.-N.)
| | - Mónica Díez-Fairén
- Fundació per la Recerca Biomèdica i Social Mútua de Terrassa, 08221 Terrassa, Spain; (M.D.-F.); (I.Á.); (P.P.)
- Movement Disorders Unit, Department of Neurology, Univeristy Hospital Mutua de Terrassa, 08221 Terrassa, Spain
| | - Ignacio Álvarez
- Fundació per la Recerca Biomèdica i Social Mútua de Terrassa, 08221 Terrassa, Spain; (M.D.-F.); (I.Á.); (P.P.)
- Movement Disorders Unit, Department of Neurology, Univeristy Hospital Mutua de Terrassa, 08221 Terrassa, Spain
| | - Pau Pastor
- Fundació per la Recerca Biomèdica i Social Mútua de Terrassa, 08221 Terrassa, Spain; (M.D.-F.); (I.Á.); (P.P.)
- Movement Disorders Unit, Department of Neurology, Univeristy Hospital Mutua de Terrassa, 08221 Terrassa, Spain
| | - José Francisco Plaza-Nieto
- Section of Neurology, Hospital Universitario del Sureste, 28500 Arganda del Rey, Spain; (H.A.-N.); (M.C.); (J.F.P.-N.)
| | - Santiago Navarro-Muñoz
- Section of Neurology, Hospital La Mancha-Centro, 13600 Alcázar de San Juan, Spain; (S.N.-M.); (L.T.-F.); (J.M.-P.); (M.R.-B.); (R.G.-R.)
| | - Laura Turpín-Fenoll
- Section of Neurology, Hospital La Mancha-Centro, 13600 Alcázar de San Juan, Spain; (S.N.-M.); (L.T.-F.); (J.M.-P.); (M.R.-B.); (R.G.-R.)
| | - Jorge Millán-Pascual
- Section of Neurology, Hospital La Mancha-Centro, 13600 Alcázar de San Juan, Spain; (S.N.-M.); (L.T.-F.); (J.M.-P.); (M.R.-B.); (R.G.-R.)
| | - Marta Recio-Bermejo
- Section of Neurology, Hospital La Mancha-Centro, 13600 Alcázar de San Juan, Spain; (S.N.-M.); (L.T.-F.); (J.M.-P.); (M.R.-B.); (R.G.-R.)
| | - Rafael García-Ruiz
- Section of Neurology, Hospital La Mancha-Centro, 13600 Alcázar de San Juan, Spain; (S.N.-M.); (L.T.-F.); (J.M.-P.); (M.R.-B.); (R.G.-R.)
| | - Esteban García-Albea
- Department of Medicine-Neurology, Hospital “Príncipe de Asturias”, Universidad de Alcalá, Alcalá de Henares, 28805 Madrid, Spain;
| | - José A. G. Agúndez
- University Institute of Molecular Pathology Biomarkers, ARADyAL Instituto de Salud Carlos III, Universidad de Extremadura, 10071 Cáceres, Spain; (P.A.); (E.G.-M.)
- Correspondence: (F.J.J.-J.); (J.A.G.A.)
| | - Elena García-Martín
- University Institute of Molecular Pathology Biomarkers, ARADyAL Instituto de Salud Carlos III, Universidad de Extremadura, 10071 Cáceres, Spain; (P.A.); (E.G.-M.)
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Abstract
Restless legs syndrome (RLS) is a common sensorimotor disorder characterized by an urge to move that appears during rest or is exacerbated by rest, that occurs in the evening or night and that disappears during movement or is improved by movement. Symptoms vary considerably in age at onset, frequency and severity, with severe forms affecting sleep, quality of life and mood. Patients with RLS often display periodic leg movements during sleep or resting wakefulness. RLS is considered to be a complex condition in which predisposing genetic factors, environmental factors and comorbidities contribute to the expression of the disorder. RLS occurs alone or with comorbidities, for example, iron deficiency and kidney disease, but also with cardiovascular diseases, diabetes mellitus and neurological, rheumatological and respiratory disorders. The pathophysiology is still unclear, with the involvement of brain iron deficiency, dysfunction in the dopaminergic and nociceptive systems and altered adenosine and glutamatergic pathways as hypotheses being investigated. RLS is poorly recognized by physicians and it is accordingly often incorrectly diagnosed and managed. Treatment guidelines recommend initiation of therapy with low doses of dopamine agonists or α2δ ligands in severe forms. Although dopaminergic treatment is initially highly effective, its long-term use can result in a serious worsening of symptoms known as augmentation. Other treatments include opioids and iron preparations.
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Seo JE, Yeom JW, Jeon S, Cho CH, Jeong S, Lee HJ. Association Between CLOCK Gene Variants and Restless Legs Syndrome in Koreans. Psychiatry Investig 2021; 18:1125-1130. [PMID: 34732029 PMCID: PMC8600210 DOI: 10.30773/pi.2021.0302] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVE Previous studies have suggested various causes of restless legs syndrome (RLS), including iron and dopamine concentrations in the brain. Genetic influences have also been reported in many studies. There is also a possibility that circadian clock genes may be involved because symptoms of RLS worsen at night. We investigated whether CLOCK and NPAS2 gene polymorphisms were associated with RLS. METHODS A total of 227 patients with RLS and 229 non-RLS matched controls were assessed according to the International Restless Legs Syndrome Study Group diagnostic criteria. Genotyping was performed using reverse transcription polymerase chain reaction and high-resolution melting curve analyses. RESULTS Although the genotype distributions of the CLOCK variants (rs1801260 and rs2412646) were not significantly different between patients with RLS and non-RLS controls, the allele frequencies of CLOCK rs1801260 showed marginally significant differences between the two groups (X2 =2.98, p=0.085). Furthermore, there was a significant difference in the distribution of CLOCK haplotypes (rs1801260-rs2412646) between patients with RLS and non-RLS controls (p=0.013). The distributions of allelic, genotypic, and haplotypic variants of NPAS2 (rs2305160 and rs6725296) were not significantly different between the two groups. CONCLUSION Our results suggest that CLOCK variants may be associated with decreased susceptibility to RLS.
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Affiliation(s)
- Jae Eun Seo
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Ji Won Yeom
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Sehyun Jeon
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Chul-Hyun Cho
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
- Department of Psychiatry, School of Medicine, Chungnam National University, Daejeon, Republic of Korea
- Department of Psychiatry, Chungnam National University Sejong Hospital, Sejong, Republic of Korea
| | - Seunghwa Jeong
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Heon-Jeong Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
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Mainieri G, Montini A, Nicotera A, Di Rosa G, Provini F, Loddo G. The Genetics of Sleep Disorders in Children: A Narrative Review. Brain Sci 2021; 11:1259. [PMID: 34679324 PMCID: PMC8534132 DOI: 10.3390/brainsci11101259] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/17/2021] [Accepted: 09/20/2021] [Indexed: 11/16/2022] Open
Abstract
Sleep is a universal, highly preserved process, essential for human and animal life, whose complete functions are yet to be unravelled. Familial recurrence is acknowledged for some sleep disorders, but definite data are lacking for many of them. Genetic studies on sleep disorders have progressed from twin and family studies to candidate gene approaches to culminate in genome-wide association studies (GWAS). Several works disclosed that sleep-wake characteristics, in addition to electroencephalographic (EEG) sleep patterns, have a certain degree of heritability. Notwithstanding, it is rare for sleep disorders to be attributed to single gene defects because of the complexity of the brain network/pathways involved. Besides, the advancing insights in epigenetic gene-environment interactions add further complexity to understanding the genetic control of sleep and its disorders. This narrative review explores the current genetic knowledge in sleep disorders in children, following the International Classification of Sleep Disorders-Third Edition (ICSD-3) categorisation.
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Affiliation(s)
- Greta Mainieri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40138 Bologna, Italy; (G.M.); (A.M.)
| | - Angelica Montini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40138 Bologna, Italy; (G.M.); (A.M.)
| | - Antonio Nicotera
- Unit of Child Neurology and Psychiatry, Department of Human Pathology of the Adult and Developmental Age, “Gaetano Barresi” University of Messina, 98124 Messina, Italy; (A.N.); (G.D.R.)
| | - Gabriella Di Rosa
- Unit of Child Neurology and Psychiatry, Department of Human Pathology of the Adult and Developmental Age, “Gaetano Barresi” University of Messina, 98124 Messina, Italy; (A.N.); (G.D.R.)
| | - Federica Provini
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40138 Bologna, Italy; (G.M.); (A.M.)
- IRCCS Istituto Delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy
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Ergun U, Say B, Ergun SG, Percin FE, Inan L, Kaygisiz S, Asal PG, Yurteri B, Struchalin M, Shtokalo D, Ergun MA. Genome-wide association and whole exome sequencing studies reveal a novel candidate locus for restless legs syndrome. Eur J Med Genet 2021; 64:104186. [PMID: 33662638 DOI: 10.1016/j.ejmg.2021.104186] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 02/05/2021] [Accepted: 02/27/2021] [Indexed: 12/19/2022]
Abstract
INTRODUCTION The restless legs syndrome (RLS) is a common heritable neurologic disorder which is characterized by an irresistible desire to move and unpleasant sensations in the legs. METHODS We aim to identify new variants associated with RLS by performing genome-wide linkage and subsequent association analysis of forty member's family with history of RLS. RESULTS We found evidence of linkage for three loci 7q21.11 (HLOD = 3.02), 7q21.13-7q21.3 (HLOD = 3.02) and 7q22.3 (HLOD = 3.09). Fine-mapping of those regions in association study using exome sequencing identified SEMA3A (p-value = 8.5·10-4), PPP1R9A (p-value = 7.2·10-4), PUS7 (p-value = 8.7·10-4), CDHR3 (p-value = 7.2·10-4), HBP1 (p-value = 1.5·10-4) and COG5 (p-value = 1.5·10-4) genes with p-values below significance threshold. CONCLUSION Linkage analysis with subsequent association study of exome variants identified six new genes associated with RLS mapped on 7q21 and q22.
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Affiliation(s)
- Ufuk Ergun
- Kırıkkale University Faculty of Medicine, Department of Neurology, Kırıkkale, Turkey
| | - Bahar Say
- Kırıkkale University Faculty of Medicine, Department of Neurology, Kırıkkale, Turkey
| | - Sezen Guntekin Ergun
- Hacettepe University Faculty of Medicine, Department of Medical Biology, Anakara, Turkey
| | - Ferda Emriye Percin
- Gazi University Faculty of Medicine, Department of Medical Genetics, Ankara, Turkey
| | - Levent Inan
- Ministry of Health Ankara Research and Training Hospital Neurology and Algology Department, Ankara, Turkey
| | - Sukran Kaygisiz
- Ministry of Health Ordu University Traning and Research Hospital, Ordu, Turkey
| | - Pınar Gelener Asal
- Dr. Suat Gunsel University of Kyrenia Hospital, Kyrenia, Turkish Republic of Northern Cyprus
| | - Buket Yurteri
- Hacettepe University Faculty of Medicine, Department of Pediatric Basic Sciences, Ankara, Turkey
| | | | - Dmitry Shtokalo
- AcademGene Ltd, Russia; A.P.Ershov Institute of Informatics Systems SB RAS, Russia
| | - Mehmet Ali Ergun
- Gazi University Faculty of Medicine, Department of Medical Genetics, Ankara, Turkey.
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