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Gileles-Hillel A, Bhattacharjee R, Gorelik M, Narang I. Advances in Sleep-Disordered Breathing in Children. Clin Chest Med 2024; 45:651-662. [PMID: 39069328 DOI: 10.1016/j.ccm.2024.03.004] [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] [Indexed: 07/30/2024]
Abstract
Pediatric sleep-disordered breathing disorders are a group of common conditions, from habitual snoring to obstructive sleep apnea (OSA) syndrome, affecting a significant proportion of children. The present article summarizes the current knowledge on diagnosis and treatment of pediatric OSA focusing on therapeutic and surgical advancements in the field in recent years. Advancements in OSA such as biomarkers, improving continuous pressure therapy adherence, novel pharmacotherapies, and advanced surgeries are discussed.
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Affiliation(s)
- Alex Gileles-Hillel
- Neonatal Pulmonology Service, Pediatric Pulmonary and Sleep Unit; Pediatric Division, Hadassah Medical Center, Jerusalem 911111, Israel; The Faculty of Medicine, Hebrew University of Jerusalem; The Wohl Translational Research Institute, Hadassah Medical Center, Kiryat Hadassah, Ein Kerem, Jerusalem 911111, Israel.
| | - Rakesh Bhattacharjee
- Division of Respiratory Medicine, Department of Pediatrics, Rady Children's Hospital, UCSD, San Diego, CA 92123, USA
| | - Michael Gorelik
- Division of Pediatric Otolaryngology, Children's Hospital of Wisconsin, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Indra Narang
- Division of Respiratory Medicine, Faculty Development and EDI, Department of Paediatrics, Translational Medicine, Research Institute, Hospital for Sick Children; Department of Paediatrics, University of Toronto, 51 Banff Road, Toronto M4S2V6, Canada
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2
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Odriozola A, González A, Álvarez-Herms J, Corbi F. Sleep regulation and host genetics. ADVANCES IN GENETICS 2024; 111:497-535. [PMID: 38908905 DOI: 10.1016/bs.adgen.2024.02.002] [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: 06/24/2024]
Abstract
Due to the multifactorial and complex nature of rest, we focus on phenotypes related to sleep. Sleep regulation is a multifactorial process. In this chapter, we focus on those phenotypes inherent to sleep that are highly prevalent in the population, and that can be modulated by lifestyle, such as sleep quality and duration, insomnia, restless leg syndrome and daytime sleepiness. We, therefore, leave in the background those phenotypes that constitute infrequent pathologies or for which the current level of scientific evidence does not favour the implementation of practical approaches of this type. Similarly, the regulation of sleep quality is intimately linked to the regulation of the circadian rhythm. Although this relationship is discussed in the sections that require it, the in-depth study of circadian rhythm regulation at the molecular level deserves a separate chapter, and this is how it is dealt with in this volume.
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Affiliation(s)
- Adrián Odriozola
- Hologenomiks Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain.
| | - Adriana González
- Hologenomiks Research Group, Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Jesús Álvarez-Herms
- Phymo® Lab, Physiology, and Molecular Laboratory, Collado Hermoso, Segovia, Spain
| | - Francesc Corbi
- Institut Nacional d'Educació Física de Catalunya (INEFC), Centre de Lleida, Universitat de Lleida (UdL), Lleida, Spain
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3
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Wang X, Song S, Dong N, Lv R, He Y, Zhao Y, Yue H. The causal relationship between depression and obstructive sleep apnea: A bidirectional Mendelian randomization study. J Psychosom Res 2024; 179:111620. [PMID: 38430795 DOI: 10.1016/j.jpsychores.2024.111620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 01/16/2024] [Accepted: 02/19/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Numerous studies have reported the close association of depression with obstructive sleep apnea (OSA). However, the causal nature and direction remain unclear. This study aimed to identify the genetic causal relationship between depression and OSA using Mendelian randomization (MR). METHODS Based on publicly available genome-wide association studies data of depression and OSA, we conducted a bidirectional two-sample MR study. The inverse-variance weighted (IVW) was used as the main analysis method. Moreover, multivariable MR was performed to further explore the underlying genetic causality of OSA and depression after adjusting for several potential mediators. RESULTS The univariable MR analysis revealed a significant causality of depression on the susceptibility of OSA (ORivw = 1.29, 95%CI:1.11,1.50; p < 0.001). This relationship was evidenced by the phenotypes for broad depression (ORivw = 3.30, 95%CI: 1.73, 6.29; p < 0.001), probable major depression (ORivw = 18.79, 95%CI: 5.69, 61.99; p < 0.001), and ICD-10 major depression (ORivw = 23.67, 95%CI: 4.13, 135.74; p < 0.001). In the reverse direction, no significant causal effect of OSA on depression was found. After adjusting for smoking, alcohol use, obesity, type 2 diabetes, insomnia, age, gender, and codeine, most of these results suggested that depression remained significantly and positively associated with OSA. CONCLUSION These findings may contribute to the understanding of the etiology of depression and OSA and also suggest the clinical significance of controlling depression for the prevention of OSA.
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Affiliation(s)
- Xiao Wang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Shaoming Song
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China; Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese PLA General Hospital, Beijing 100000, China
| | - Na Dong
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Renjun Lv
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Yao He
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Yan Zhao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Hongmei Yue
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China; Department of Pulmonary and Critical Care Medicine, The First Hospital of Lanzhou University, Lanzhou 730000, China.
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Quinlan CM, Chang X, March M, Mentch FD, Qu HQ, Liu Y, Glessner J, Sleiman PMA, Hakonarson H. Identification of novel loci in obstructive sleep apnea in European American and African American children. Sleep 2024; 47:zsac182. [PMID: 35902206 DOI: 10.1093/sleep/zsac182] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 06/24/2022] [Indexed: 02/18/2024] Open
Abstract
STUDY OBJECTIVES To identify genetic susceptibility variants in pediatric obstructive sleep apnea in European American and African American children. METHODS A phenotyping algorithm using electronic medical records was developed to recruit cases with OSA and control subjects from the Center for Applied Genomics at Children's Hospital of Philadelphia (CHOP). Genome-wide association studies (GWAS) were performed in pediatric OSA cases and control subjects with European American (EA) and African American (AA) ancestry followed by meta-analysis and sex stratification. RESULTS The algorithm accrued 1486 subjects (46.3% European American, 53.7% African American). We identified genomic loci at 1p36.22 and 15q26.1 that associated with OSA risk in EA and AA, respectively. We also revealed a shared risk locus at 18p11.32 (rs114124196, p = 1.72 × 10-8) across EA and AA populations. Additionally, association at 1q43 (rs12754698) and 2p25.1 (rs72775219) was identified in the male-only analysis of EA children with OSA, while association at 8q21.11 (rs6472959), 11q24.3 (rs4370952) and 15q21.1 (rs149936782) was detected in the female-only analysis of EA children and association at 18p11.23 (rs9964029) was identified in the female-only analysis of African-American children. Moreover, the 18p11.32 locus was replicated in an EA cohort (rs114124196, p = 8.8 × 10-3). CONCLUSIONS We report the first GWAS for pediatric OSA in European Americans and African Americans. Our results provide novel insights to the genetic underpins of pediatric OSA.
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Affiliation(s)
- Courtney M Quinlan
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Xiao Chang
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Michael March
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Frank D Mentch
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Hui-Qi Qu
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Yichuan Liu
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Joseph Glessner
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Patrick M A Sleiman
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA, 19104, USA
- Divisions of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Hakon Hakonarson
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA, 19104, USA
- Divisions of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
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Qin H, Fietze I, Mazzotti DR, Steenbergen N, Kraemer JF, Glos M, Wessel N, Song L, Penzel T, Zhang X. Obstructive sleep apnea heterogeneity and autonomic function: a role for heart rate variability in therapy selection and efficacy monitoring. J Sleep Res 2024; 33:e14020. [PMID: 37709966 DOI: 10.1111/jsr.14020] [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: 02/07/2023] [Revised: 07/23/2023] [Accepted: 08/03/2023] [Indexed: 09/16/2023]
Abstract
Obstructive sleep apnea is a highly prevalent sleep-related breathing disorder, resulting in a disturbed breathing pattern, changes in blood gases, abnormal autonomic regulation, metabolic fluctuation, poor neurocognitive performance, and increased cardiovascular risk. With broad inter-individual differences recognised in risk factors, clinical symptoms, gene expression, physiological characteristics, and health outcomes, various obstructive sleep apnea subtypes have been identified. Therapeutic efficacy and its impact on outcomes, particularly for cardiovascular consequences, may also vary depending on these features in obstructive sleep apnea. A number of interventions such as positive airway pressure therapies, oral appliance, surgical treatment, and pharmaceutical options are available in clinical practice. Selecting an effective obstructive sleep apnea treatment and therapy is a challenging medical decision due to obstructive sleep apnea heterogeneity and numerous treatment modalities. Thus, an objective marker for clinical evaluation is warranted to estimate the treatment response in patients with obstructive sleep apnea. Currently, while the Apnea-Hypopnea Index is used for severity assessment of obstructive sleep apnea and still considered a major guide to diagnosis and managements of obstructive sleep apnea, the Apnea-Hypopnea Index is not a robust marker of symptoms, function, or outcome improvement. Abnormal cardiac autonomic modulation can provide additional insight to better understand obstructive sleep apnea phenotyping. Heart rate variability is a reliable neurocardiac tool to assess altered autonomic function and can also provide cardiovascular information in obstructive sleep apnea. Beyond the Apnea-Hypopnea Index, this review aims to discuss the role of heart rate variability as an indicator and predictor of therapeutic efficacy to different modalities in order to optimise tailored treatment for obstructive sleep apnea.
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Affiliation(s)
- Hua Qin
- Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Ingo Fietze
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
- The Fourth People's Hospital of Guangyuan, Guangyuan, China
| | - Diego R Mazzotti
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | | | - Jan F Kraemer
- Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
- Information Processing and Analytics Group, School of Library and Information Science, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Martin Glos
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Niels Wessel
- Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Medicine, Medical School Berlin, Berlin, Germany
| | - Lijun Song
- Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Thomas Penzel
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Xiaowen Zhang
- Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Levine Z, Kalka I, Kolobkov D, Rossman H, Godneva A, Shilo S, Keshet A, Weissglas-Volkov D, Shor T, Diament A, Talmor-Barkan Y, Aviv Y, Sharon T, Weinberger A, Segal E. Genome-wide association studies and polygenic risk score phenome-wide association studies across complex phenotypes in the human phenotype project. MED 2024; 5:90-101.e4. [PMID: 38157848 DOI: 10.1016/j.medj.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 09/29/2023] [Accepted: 12/03/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Genome-wide association studies (GWASs) associate phenotypes and genetic variants across a study cohort. GWASs require large-scale cohorts with both phenotype and genetic sequencing data, limiting studied phenotypes. The Human Phenotype Project is a longitudinal study that has measured a wide range of clinical and biomolecular features from a self-assignment cohort over 5 years. The phenotypes collected are quantitative traits, providing higher-resolution insights into the genetics of complex phenotypes. METHODS We present the results of GWASs and polygenic risk score phenome-wide association studies with 729 clinical phenotypes and 4,043 molecular features from the Human Phenotype Project. This includes clinical traits that have not been previously associated with genetics, including measures from continuous sleep monitoring, continuous glucose monitoring, liver ultrasound, hormonal status, and fundus imaging. FINDINGS In GWAS of 8,706 individuals, we found significant associations between 169 clinical traits and 1,184 single-nucleotide polymorphisms. We found genes associated with both glycemic control and mental disorders, and we quantify the strength of genetic signals in serum metabolites. In polygenic risk score phenome-wide association studies for clinical traits, we found 16,047 significant associations. CONCLUSIONS The entire set of findings, which we disseminate publicly, provides newfound resolution into the genetic architecture of complex human phenotypes. FUNDING E.S. is supported by the Minerva foundation with funding from the Federal German Ministry for Education and Research and by the European Research Council and the Israel Science Foundation.
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Affiliation(s)
- Zachary Levine
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Iris Kalka
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Dmitry Kolobkov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Hagai Rossman
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Pheno.AI, Tel-Aviv, Israel
| | - Anastasia Godneva
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Smadar Shilo
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Ayya Keshet
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Pheno.AI, Tel-Aviv, Israel
| | - Daphna Weissglas-Volkov
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Pheno.AI, Tel-Aviv, Israel
| | - Tal Shor
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Pheno.AI, Tel-Aviv, Israel
| | - Alon Diament
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Pheno.AI, Tel-Aviv, Israel
| | - Yeela Talmor-Barkan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6997801, Israel; Department of Cardiology, Rabin Medical Center, Petah-Tikva 49100, Israel
| | - Yaron Aviv
- Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv 6997801, Israel; Department of Cardiology, Rabin Medical Center, Petah-Tikva 49100, Israel
| | - Tom Sharon
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel; Pheno.AI, Tel-Aviv, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
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Elgart M, Zhang Y, Zhang Y, Yu B, Kim Y, Zee PC, Gellman MD, Boerwinkle E, Daviglus ML, Cai J, Redline S, Burk RD, Kaplan R, Sofer T. Anaerobic pathogens associated with OSA may contribute to pathophysiology via amino-acid depletion. EBioMedicine 2023; 98:104891. [PMID: 38006744 PMCID: PMC10709109 DOI: 10.1016/j.ebiom.2023.104891] [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: 03/06/2023] [Revised: 11/12/2023] [Accepted: 11/14/2023] [Indexed: 11/27/2023] Open
Abstract
BACKGROUND The human microbiome is linked to multiple metabolic disorders such as obesity and diabetes. Obstructive sleep apnoea (OSA) is a common sleep disorder with several metabolic risk factors. We investigated the associations between the gut microbiome composition and function, and measures of OSA severity in participants from a prospective community-based cohort study: the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). METHODS Bacterial-Wide Association Analysis (BWAS) of gut microbiome measured via metagenomics with OSA measures was performed adjusting for clinical, lifestyle and co-morbidities. This was followed by functional analysis of the OSA-enriched bacteria. We utilized additional metabolomic and transcriptomic associations to suggest possible mechanisms explaining the microbiome effects on OSA. FINDINGS Several uncommon anaerobic human pathogens were associated with OSA severity. These belong to the Lachnospira, Actinomyces, Kingella and Eubacterium genera. Functional analysis revealed enrichment in 49 processes including many anaerobic-related ones. Severe OSA was associated with the depletion of the amino acids glycine and glutamine in the blood, yet neither diet nor gene expression revealed any changes in the production or consumption of these amino acids. INTERPRETATION We show anaerobic bacterial communities to be a novel component of OSA pathophysiology. These are established in the oxygen-poor environments characteristic of OSA. We hypothesize that these bacteria deplete certain amino acids required for normal human homeostasis and muscle tone, contributing to OSA phenotypes. Future work should test this hypothesis as well as consider diagnostics via anaerobic bacteria detection and possible interventions via antibiotics and amino-acid supplementation. FUNDING Described in methods.
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Affiliation(s)
- Michael Elgart
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Ying Zhang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Yuan Zhang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Bing Yu
- Human Genetics Centre, The University of Texas Health Science Centre at Houston, Houston, TX, USA; Human Genome Sequencing Centre, Baylor College of Medicine, Houston, TX, USA
| | - Youngmee Kim
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Phyllis C Zee
- Department of Neurology and Sleep Medicine Centre, Northwestern University, Chicago, IL, USA
| | - Marc D Gellman
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Eric Boerwinkle
- Human Genetics Centre, The University of Texas Health Science Centre at Houston, Houston, TX, USA; Human Genome Sequencing Centre, Baylor College of Medicine, Houston, TX, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Jianwen Cai
- Collaborative Studies Coordinating Centre, University of North Carolina at Chapel Hill, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA; Fred Hutchinson Cancer Research Centre, Division of Public Health Sciences, Seattle, WA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA.
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8
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Zhong C, Li S, Arroyo K, Morimoto LM, de Smith AJ, Metayer C, Ma X, Kogan SC, Gauderman WJ, Wiemels JL. Gene-Environment Analyses Reveal Novel Genetic Candidates with Prenatal Tobacco Exposure in Relation to Risk for Childhood Acute Lymphoblastic Leukemia. Cancer Epidemiol Biomarkers Prev 2023; 32:1707-1715. [PMID: 37773025 DOI: 10.1158/1055-9965.epi-23-0258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 08/02/2023] [Accepted: 09/27/2023] [Indexed: 09/30/2023] Open
Abstract
BACKGROUND Associations between maternal tobacco exposure during pregnancy and childhood acute lymphoblastic leukemia (ALL) have yielded mixed results. This may be due to biases in self-reported smoking or other differences in individual-level risk factors. We utilized a biological marker of maternal tobacco exposure to evaluate the association between maternal tobacco exposure during pregnancy, genetics, and subsequent childhood ALL risk in two large population-based studies of childhood ALL in California. METHODS Maternal exposure to tobacco smoke was assessed with a validated methylation marker (cg05575921) of the aryl hydrocarbon receptor repressor (AHRR) gene in newborn dried blood spots. We adjusted for sex, birthweight, gestational age, mode of delivery, year of birth, AHRR quantitative trait locus (mQTL) rs77111113, and a polygenetic risk score for childhood ALL. We additionally adjusted for principal components in a gene-environment interaction testing method that incorporates gene-only and environment-only effects along with interactions. RESULTS AHRR hypomethylation overall was not associated with childhood ALL. In gene-environment interaction testing, several genetic variants displayed significant interaction with AHRR hypomethylation and childhood ALL. CONCLUSIONS Our results suggest that novel candidates in PTPRK and DPP6 may play a role in tobacco-related leukemogenesis. Further research is necessary to better understand the effects of tobacco and these variants on childhood ALL risk. IMPACT Despite the lack of an overall "main effect," tobacco exposure during pregnancy affects childhood ALL risk depending on specific genetic variants.
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Affiliation(s)
- Charlie Zhong
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Shaobo Li
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Katti Arroyo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Libby M Morimoto
- School of Public Health, University of California, Berkeley, Berkeley, California
| | - Adam J de Smith
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Catherine Metayer
- School of Public Health, University of California, Berkeley, Berkeley, California
| | - Xiaomei Ma
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Scott C Kogan
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | - W James Gauderman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Joseph L Wiemels
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
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9
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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: 2] [Impact Index Per Article: 2.0] [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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10
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Riha RL. Update on the genetic basis of obstructive sleep apnoea - hype or hope? Curr Opin Pulm Med 2023; 29:533-538. [PMID: 37789770 DOI: 10.1097/mcp.0000000000001011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
PURPOSE OF REVIEW The obstructive sleep apnoea syndrome (OSAS) is a chronic, common condition in western societies which can lead to adverse cardiometabolic effects if left untreated and is one of the commonest causes of excessive daytime somnolence. RECENT FINDINGS The presentation of OSAS is diverse and is thought to comprise of different intermediate phenotypes and endotypes in varying proportions in each individual. Unfortunately, due to its heterogeneity and the changing definitions of the disorder by workers in the field, attempts at revealing the genetic basis of OSAS has been fraught with difficulty. SUMMARY This brief review presents a short update on the achievements of the past three decades in this understudied and underfunded area of endeavour in respiratory sleep medicine. The genetic underpinnings of OSAS remain elusive.
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Affiliation(s)
- Renata L Riha
- Department of Sleep Medicine, Royal Infirmary of Edinburgh
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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11
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Ryu B, Lee S, Heo E, Yoo S, Kim JW. Snoring-related polygenic risk and its relationship with lifestyle factors in a Korean population: KoGES study. Sci Rep 2023; 13:14212. [PMID: 37648772 PMCID: PMC10469207 DOI: 10.1038/s41598-023-41369-x] [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: 09/19/2022] [Accepted: 08/25/2023] [Indexed: 09/01/2023] Open
Abstract
Whereas lifestyle-related factors are recognized as snoring risk factors, the role of genetics in snoring remains uncertain. One way to measure the impact of genetic risk is through the use of a polygenic risk score (PRS). In this study, we aimed to investigate whether genetics plays a role in snoring after adjusting for lifestyle factors. Since the effect of polygenic risks may differ across ethnic groups, we calculated the PRS for snoring from the UK Biobank and applied it to a Korean cohort. We sought to evaluate the reproducibility of the UK Biobank PRS for snoring in the Korean cohort and to investigate the interaction of lifestyle factors and genetic risk on snoring in the Korean population. In this study, we utilized a Korean cohort obtained from the Korean Genome Epidemiology Study (KoGES). We computed the snoring PRS for the Korean cohort based on the UK Biobank PRS. We investigated the relationship between polygenic risks and snoring while controlling for lifestyle factors, including sex, age, body mass index (BMI), alcohol consumption, smoking, physical activity, and sleep time. Additionally, we analyzed the interaction of each lifestyle factor and the genetic odds of snoring. We included 3526 snorers and 1939 nonsnorers from the KoGES cohort and found that the PRS, a polygenic risk factor, was an independent factor for snoring after adjusting for lifestyle factors. In addition, among lifestyle factors, higher BMI, male sex, and older age were the strongest lifestyle factors for snoring. In addition, the highest adjusted odds ratio for snoring was higher BMI (OR 1.98, 95% CI 1.76-2.23), followed by male sex (OR 1.54, 95% CI 1.28-1.86), older age (OR 1.23, 95% CI 1.03-1.35), polygenic risks such as higher PRS (OR 1.18, 95% CI 1.08-1.29), drinking behavior (OR 1.18, 95% CI 1.03-1.35), late sleep mid-time (OR 1.17, 95% CI 1.02-1.33), smoking behavior (OR 0.99, 95% CI 0.82-1.19), and lower physical activity (OR 0.92, 95% CI 0.85-1.00). Our study identified that the UK Biobank PRS for snoring was reproducible in the Korean cohort and that genetic risk served as an independent risk factor for snoring in the Korean population. These findings may help to develop personalized approaches to reduce snoring in individuals with high genetic risk.
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Affiliation(s)
- Borim Ryu
- Center for Data Science, Biomedical Research Institute, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Sejoon Lee
- Precision Medicine Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Eunjeong Heo
- Healthcare ICT Research Center, Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13605, Republic of Korea
| | - Sooyoung Yoo
- Healthcare ICT Research Center, Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13605, Republic of Korea.
| | - Jeong-Whun Kim
- Department of Otorhinolaryngology, Seoul National University Bundang Hospital, 172, Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13605, Republic of Korea.
- Department of Otorhinolaryngology, Seoul National University College of Medicine, Seoul, Republic of Korea.
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12
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Chang JL, Goldberg AN, Alt JA, Alzoubaidi M, Ashbrook L, Auckley D, Ayappa I, Bakhtiar H, Barrera JE, Bartley BL, Billings ME, Boon MS, Bosschieter P, Braverman I, Brodie K, Cabrera-Muffly C, Caesar R, Cahali MB, Cai Y, Cao M, Capasso R, Caples SM, Chahine LM, Chang CP, Chang KW, Chaudhary N, Cheong CSJ, Chowdhuri S, Cistulli PA, Claman D, Collen J, Coughlin KC, Creamer J, Davis EM, Dupuy-McCauley KL, Durr ML, Dutt M, Ali ME, Elkassabany NM, Epstein LJ, Fiala JA, Freedman N, Gill K, Boyd Gillespie M, Golisch L, Gooneratne N, Gottlieb DJ, Green KK, Gulati A, Gurubhagavatula I, Hayward N, Hoff PT, Hoffmann OM, Holfinger SJ, Hsia J, Huntley C, Huoh KC, Huyett P, Inala S, Ishman SL, Jella TK, Jobanputra AM, Johnson AP, Junna MR, Kado JT, Kaffenberger TM, Kapur VK, Kezirian EJ, Khan M, Kirsch DB, Kominsky A, Kryger M, Krystal AD, Kushida CA, Kuzniar TJ, Lam DJ, Lettieri CJ, Lim DC, Lin HC, Liu SY, MacKay SG, Magalang UJ, Malhotra A, Mansukhani MP, Maurer JT, May AM, Mitchell RB, Mokhlesi B, Mullins AE, Nada EM, Naik S, Nokes B, Olson MD, Pack AI, Pang EB, Pang KP, Patil SP, Van de Perck E, Piccirillo JF, Pien GW, Piper AJ, Plawecki A, Quigg M, Ravesloot MJ, Redline S, Rotenberg BW, Ryden A, Sarmiento KF, Sbeih F, Schell AE, Schmickl CN, Schotland HM, Schwab RJ, Seo J, Shah N, Shelgikar AV, Shochat I, Soose RJ, Steele TO, Stephens E, Stepnowsky C, Strohl KP, Sutherland K, Suurna MV, Thaler E, Thapa S, Vanderveken OM, de Vries N, Weaver EM, Weir ID, Wolfe LF, Tucker Woodson B, Won CH, Xu J, Yalamanchi P, Yaremchuk K, Yeghiazarians Y, Yu JL, Zeidler M, Rosen IM. International Consensus Statement on Obstructive Sleep Apnea. Int Forum Allergy Rhinol 2023; 13:1061-1482. [PMID: 36068685 PMCID: PMC10359192 DOI: 10.1002/alr.23079] [Citation(s) in RCA: 55] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 08/12/2022] [Accepted: 08/18/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Evaluation and interpretation of the literature on obstructive sleep apnea (OSA) allows for consolidation and determination of the key factors important for clinical management of the adult OSA patient. Toward this goal, an international collaborative of multidisciplinary experts in sleep apnea evaluation and treatment have produced the International Consensus statement on Obstructive Sleep Apnea (ICS:OSA). METHODS Using previously defined methodology, focal topics in OSA were assigned as literature review (LR), evidence-based review (EBR), or evidence-based review with recommendations (EBR-R) formats. Each topic incorporated the available and relevant evidence which was summarized and graded on study quality. Each topic and section underwent iterative review and the ICS:OSA was created and reviewed by all authors for consensus. RESULTS The ICS:OSA addresses OSA syndrome definitions, pathophysiology, epidemiology, risk factors for disease, screening methods, diagnostic testing types, multiple treatment modalities, and effects of OSA treatment on multiple OSA-associated comorbidities. Specific focus on outcomes with positive airway pressure (PAP) and surgical treatments were evaluated. CONCLUSION This review of the literature consolidates the available knowledge and identifies the limitations of the current evidence on OSA. This effort aims to create a resource for OSA evidence-based practice and identify future research needs. Knowledge gaps and research opportunities include improving the metrics of OSA disease, determining the optimal OSA screening paradigms, developing strategies for PAP adherence and longitudinal care, enhancing selection of PAP alternatives and surgery, understanding health risk outcomes, and translating evidence into individualized approaches to therapy.
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Affiliation(s)
- Jolie L. Chang
- University of California, San Francisco, California, USA
| | | | | | | | - Liza Ashbrook
- University of California, San Francisco, California, USA
| | | | - Indu Ayappa
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | | | - Maurits S. Boon
- Sidney Kimmel Medical Center at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Pien Bosschieter
- Academic Centre for Dentistry Amsterdam, Amsterdam, The Netherlands
| | - Itzhak Braverman
- Hillel Yaffe Medical Center, Hadera Technion, Faculty of Medicine, Hadera, Israel
| | - Kara Brodie
- University of California, San Francisco, California, USA
| | | | - Ray Caesar
- Stone Oak Orthodontics, San Antonio, Texas, USA
| | | | - Yi Cai
- University of California, San Francisco, California, USA
| | | | | | | | | | | | | | | | | | - Susmita Chowdhuri
- Wayne State University and John D. Dingell VA Medical Center, Detroit, Michigan, USA
| | - Peter A. Cistulli
- Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - David Claman
- University of California, San Francisco, California, USA
| | - Jacob Collen
- Uniformed Services University, Bethesda, Maryland, USA
| | | | | | - Eric M. Davis
- University of Virginia, Charlottesville, Virginia, USA
| | | | | | - Mohan Dutt
- University of Michigan, Ann Arbor, Michigan, USA
| | - Mazen El Ali
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | | | | | | | - Kirat Gill
- Stanford University, Palo Alto, California, USA
| | | | - Lea Golisch
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | | | | | | | - Arushi Gulati
- University of California, San Francisco, California, USA
| | | | | | - Paul T. Hoff
- University of Michigan, Ann Arbor, Michigan, USA
| | - Oliver M.G. Hoffmann
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | | | - Jennifer Hsia
- University of Minnesota, Minneapolis, Minnesota, USA
| | - Colin Huntley
- Sidney Kimmel Medical Center at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | | | | | - Sanjana Inala
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | | | | | | | | | | | | | - Meena Khan
- Ohio State University, Columbus, Ohio, USA
| | | | - Alan Kominsky
- Cleveland Clinic Head and Neck Institute, Cleveland, Ohio, USA
| | - Meir Kryger
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | | | | | - Derek J. Lam
- Oregon Health and Science University, Portland, Oregon, USA
| | | | | | | | | | | | | | - Atul Malhotra
- University of California, San Diego, California, USA
| | | | - Joachim T. Maurer
- University Hospital Mannheim, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Anna M. May
- Case Western Reserve University, Cleveland, Ohio, USA
| | - Ron B. Mitchell
- University of Texas, Southwestern and Children’s Medical Center Dallas, Texas, USA
| | | | | | | | | | - Brandon Nokes
- University of California, San Diego, California, USA
| | | | - Allan I. Pack
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | | | | | | | | | | | | | - Mark Quigg
- University of Virginia, Charlottesville, Virginia, USA
| | | | - Susan Redline
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Armand Ryden
- Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA
| | | | - Firas Sbeih
- Cleveland Clinic Head and Neck Institute, Cleveland, Ohio, USA
| | | | | | | | | | - Jiyeon Seo
- University of California, Los Angeles, California, USA
| | - Neomi Shah
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - Ryan J. Soose
- University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | - Erika Stephens
- University of California, San Francisco, California, USA
| | | | | | | | | | - Erica Thaler
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sritika Thapa
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | - Nico de Vries
- Academic Centre for Dentistry Amsterdam, Amsterdam, The Netherlands
| | | | - Ian D. Weir
- Yale School of Medicine, New Haven, Connecticut, USA
| | | | | | | | - Josie Xu
- University of Toronto, Ontario, Canada
| | | | | | | | | | | | - Ilene M. Rosen
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
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13
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Marincak Vrankova Z, Krivanek J, Danek Z, Zelinka J, Brysova A, Izakovicova Holla L, Hartsfield JK, Borilova Linhartova P. Candidate genes for obstructive sleep apnea in non-syndromic children with craniofacial dysmorphisms - a narrative review. Front Pediatr 2023; 11:1117493. [PMID: 37441579 PMCID: PMC10334820 DOI: 10.3389/fped.2023.1117493] [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: 12/06/2022] [Accepted: 06/06/2023] [Indexed: 07/15/2023] Open
Abstract
Pediatric obstructive sleep apnea (POSA) is a complex disease with multifactorial etiopathogenesis. The presence of craniofacial dysmorphisms influencing the patency of the upper airway is considered a risk factor for POSA development. The craniofacial features associated with sleep-related breathing disorders (SRBD) - craniosynostosis, retrognathia and micrognathia, midface and maxillary hypoplasia - have high heritability and, in a less severe form, could be also found in non-syndromic children suffering from POSA. As genetic factors play a role in both POSA and craniofacial dysmorphisms, we hypothesize that some genes associated with specific craniofacial features that are involved in the development of the orofacial area may be also considered candidate genes for POSA. The genetic background of POSA in children is less explored than in adults; so far, only one genome-wide association study for POSA has been conducted; however, children with craniofacial disorders were excluded from that study. In this narrative review, we discuss syndromes that are commonly associated with severe craniofacial dysmorphisms and a high prevalence of sleep-related breathing disorders (SRBD), including POSA. We also summarized information about their genetic background and based on this, proposed 30 candidate genes for POSA affecting craniofacial development that may play a role in children with syndromes, and identified seven of these genes that were previously associated with craniofacial features risky for POSA development in non-syndromic children. The evidence-based approach supports the proposition that variants of these candidate genes could lead to POSA phenotype even in these children, and, thus, should be considered in future research in the general pediatric population.
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Affiliation(s)
- Zuzana Marincak Vrankova
- Clinic of Stomatology, Institution Shared with St. Anne's University Hospital, Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Clinic of Maxillofacial Surgery, Institution Shared with the University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | - Jan Krivanek
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Zdenek Danek
- Clinic of Maxillofacial Surgery, Institution Shared with the University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | - Jiri Zelinka
- Clinic of Maxillofacial Surgery, Institution Shared with the University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Alena Brysova
- Clinic of Stomatology, Institution Shared with St. Anne's University Hospital, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Lydie Izakovicova Holla
- Clinic of Stomatology, Institution Shared with St. Anne's University Hospital, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - James K. Hartsfield
- E. Preston Hicks Professor of Orthodontics and Oral Health Research, University of Kentucky Center for the Biologic Basis of Oral/Systemic Diseases, Hereditary Genetics/Genomics Core, Lexington, KE, United States
| | - Petra Borilova Linhartova
- Clinic of Stomatology, Institution Shared with St. Anne's University Hospital, Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Clinic of Maxillofacial Surgery, Institution Shared with the University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
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de Azevedo PG, Guimarães MDLR, Albuquerque ALB, Alves RB, Gomes Fernandes B, Marques de Melo F, Guimaraes Corrêa Do Carmo Lisboa Cardenas R, Friedman E, De Marco L, Bastos-Rodrigues L. Whole-exome identifies germline variants in families with obstructive sleep apnea syndrome. Front Genet 2023; 14:1137817. [PMID: 37229194 PMCID: PMC10203477 DOI: 10.3389/fgene.2023.1137817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 04/26/2023] [Indexed: 05/27/2023] Open
Abstract
Background: Obstructive sleep apnea syndrome (OSAS) (OMIM #107650) is characterized by complete or partial obstruction of the upper airways, resulting in periods of sleep associated apnea. OSAS increases morbidity and mortality risk from cardiovascular and cerebrovascular diseases. While heritability of OSAS is estimated at ∼40%, the precise underlying genes remain elusive. Brazilian families with OSAS that follows as seemingly autosomal dominant inheritance pattern were recruited. Methods: The study included nine individuals from two Brazilian families displaying a seemingly autosomal dominant inheritance pattern of OSAS. Whole exome sequencing of germline DNA were analyzed using Mendel, MD software. Variants selected were analyzed using Varstation® with subsequent analyses that included validation by Sanger sequencing, pathogenic score assessment by ACMG criteria, co-segregation analyses (when possible) allele frequency, tissue expression patterns, pathway analyses, effect on protein folding modeling using Swiss-Model and RaptorX. Results: Two families (six affected patients and three unaffected controls) were analyzed. A comprehensive multistep analysis yielded variants in COX20 (rs946982087) (family A), PTPDC1 (rs61743388) and TMOD4 (rs141507115) (family B) that seemed to be strong candidate genes for being OSAS associated genes in these families. Conclusion: Sequence variants in COX20, PTPDC1 and TMOD4 seemingly are associated with OSAS phenotype in these families. Further studies in more, ethnically diverse families and non-familial OSAS cases are needed to better define the role of these variants as contributors to OSAS phenotype.
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Affiliation(s)
- Pedro Guimarães de Azevedo
- Centro de Tecnologia em Medicina Molecular, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Anna Luiza Braga Albuquerque
- Centro de Tecnologia em Medicina Molecular, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Rayane Benfica Alves
- Centro de Tecnologia em Medicina Molecular, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Bianca Gomes Fernandes
- Centro de Tecnologia em Medicina Molecular, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Flavia Marques de Melo
- Centro de Tecnologia em Medicina Molecular, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Eitan Friedman
- The Preventive Personalized Medicine Center, Assuta Medical Center and the Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel
| | - Luiz De Marco
- Centro de Tecnologia em Medicina Molecular, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Department of Surgery, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Luciana Bastos-Rodrigues
- Centro de Tecnologia em Medicina Molecular, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Department of Nutrition, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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15
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Sofer T, Kurniansyah N, Murray M, Ho YL, Abner E, Esko T, Huffman JE, Cho K, Wilson PWF, Gottlieb DJ. Genome-wide association study of obstructive sleep apnoea in the Million Veteran Program uncovers genetic heterogeneity by sex. EBioMedicine 2023; 90:104536. [PMID: 36989840 PMCID: PMC10065974 DOI: 10.1016/j.ebiom.2023.104536] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/07/2023] [Accepted: 03/08/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) for obstructive sleep apnoea (OSA) are limited due to the underdiagnosis of OSA, leading to misclassification of OSA, which consequently reduces statistical power. We performed a GWAS of OSA in the Million Veteran Program (MVP) of the U.S. Department of Veterans Affairs (VA) healthcare system, where OSA prevalence is close to its true population prevalence. METHODS We performed GWAS of 568,576 MVP participants, stratified by biological sex and by harmonized race/ethnicity and genetic ancestry (HARE) groups of White, Black, Hispanic, and Asian individuals. We considered both BMI adjusted (BMI-adj) and unadjusted (BMI-unadj) models. We replicated associations in independent datasets, and analysed the heterogeneity of OSA genetic associations across HARE and sex groups. We finally performed a larger meta-analysis GWAS of MVP, FinnGen, and the MGB Biobank, totalling 916,696 individuals. FINDINGS MVP participants are 91% male. OSA prevalence is 21%. In MVP there were 18 and 6 genome-wide significant loci in BMI-unadj and BMI-adj analyses, respectively, corresponding to 21 association regions. Of these, 17 were not previously reported in association with OSA, and 13 replicated in FinnGen (False Discovery Rate p-value < 0.05). There were widespread significant differences in genetic effects between men and women, but less so across HARE groups. Meta-analysis of MVP, FinnGen, and MGB biobank revealed 17 additional, previously unreported, genome-wide significant regions. INTERPRETATION Sex differences in genetic associations with OSA are widespread, likely associated with multiple OSA risk factors. OSA shares genetic underpinnings with several sleep phenotypes, suggesting shared aetiology and causal pathways. FUNDING Described in acknowledgements.
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Affiliation(s)
- Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael Murray
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA
| | - Erik Abner
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jennifer E Huffman
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA; VA Palo Alto Health Care System, Palo Alto, CA, USA; Palo Alto Veterans Institute for Research, Palo Alto, CA, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA; Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA
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16
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Molecular Pathology, Oxidative Stress, and Biomarkers in Obstructive Sleep Apnea. Int J Mol Sci 2023; 24:ijms24065478. [PMID: 36982552 PMCID: PMC10058074 DOI: 10.3390/ijms24065478] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/06/2023] [Accepted: 03/10/2023] [Indexed: 03/18/2023] Open
Abstract
Obstructive sleep apnea syndrome (OSAS) is characterized by intermittent hypoxia (IH) during sleep due to recurrent upper airway obstruction. The derived oxidative stress (OS) leads to complications that do not only concern the sleep-wake rhythm but also systemic dysfunctions. The aim of this narrative literature review is to investigate molecular alterations, diagnostic markers, and potential medical therapies for OSAS. We analyzed the literature and synthesized the evidence collected. IH increases oxygen free radicals (ROS) and reduces antioxidant capacities. OS and metabolic alterations lead OSAS patients to undergo endothelial dysfunction, osteoporosis, systemic inflammation, increased cardiovascular risk, pulmonary remodeling, and neurological alterations. We treated molecular alterations known to date as useful for understanding the pathogenetic mechanisms and for their potential application as diagnostic markers. The most promising pharmacological therapies are those based on N-acetylcysteine (NAC), Vitamin C, Leptin, Dronabinol, or Atomoxetine + Oxybutynin, but all require further experimentation. CPAP remains the approved therapy capable of reversing most of the known molecular alterations; future drugs may be useful in treating the remaining dysfunctions.
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17
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Campos AI, Ingold N, Huang Y, Mitchell BL, Kho PF, Han X, García-Marín LM, Ong JS, Law MH, Yokoyama JS, Martin NG, Dong X, Cuellar-Partida G, MacGregor S, Aslibekyan S, Rentería ME. Discovery of genomic loci associated with sleep apnea risk through multi-trait GWAS analysis with snoring. Sleep 2023; 46:6918774. [PMID: 36525587 PMCID: PMC9995783 DOI: 10.1093/sleep/zsac308] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 11/11/2022] [Indexed: 12/23/2022] Open
Abstract
STUDY OBJECTIVES Despite its association with severe health conditions, the etiology of sleep apnea (SA) remains understudied. This study sought to identify genetic variants robustly associated with SA risk. METHODS We performed a genome-wide association study (GWAS) meta-analysis of SA across five cohorts (NTotal = 523 366), followed by a multi-trait analysis of GWAS (multi-trait analysis of genome-wide association summary statistics [MTAG]) to boost power, leveraging the high genetic correlation between SA and snoring. We then adjusted our results for the genetic effects of body mass index (BMI) using multi-trait-based conditional and joint analysis (mtCOJO) and sought replication of lead hits in a large cohort of participants from 23andMe, Inc (NTotal = 1 477 352; Ncases = 175 522). We also explored genetic correlations with other complex traits and performed a phenome-wide screen for causally associated phenotypes using the latent causal variable method. RESULTS Our SA meta-analysis identified five independent variants with evidence of association beyond genome-wide significance. After adjustment for BMI, only one genome-wide significant variant was identified. MTAG analyses uncovered 49 significant independent loci associated with SA risk. Twenty-nine variants were replicated in the 23andMe GWAS adjusting for BMI. We observed genetic correlations with several complex traits, including multisite chronic pain, diabetes, eye disorders, high blood pressure, osteoarthritis, chronic obstructive pulmonary disease, and BMI-associated conditions. CONCLUSION Our study uncovered multiple genetic loci associated with SA risk, thus increasing our understanding of the etiology of this condition and its relationship with other complex traits.
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Affiliation(s)
- Adrian I Campos
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.,Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Nathan Ingold
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | | | - Brittany L Mitchell
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Pik-Fang Kho
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Xikun Han
- Program in Genetic Epidemiology and Statistical Genetics, Harvard University T.H. Chan School of Public Health, Boston, MA, USA
| | - Luis M García-Marín
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Jue-Sheng Ong
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - Matthew H Law
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Jennifer S Yokoyama
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA.,Weill Institute of Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | | | - Xianjun Dong
- Genomics and Bioinformatics Hub, Brigham and Women's Hospital, Boston, MA, USA.,Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Stuart MacGregor
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - Miguel E Rentería
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.,School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
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18
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Sofer T. Overcoming the underdiagnosis of obstructive sleep apnea to empower genetic association analyses. Sleep 2023; 46:6912225. [PMID: 36521025 PMCID: PMC9995780 DOI: 10.1093/sleep/zsac312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Indexed: 12/23/2022] Open
Affiliation(s)
- Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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19
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Biomarkers for the severity of periodontal disease in patients with obstructive sleep apnea:IL-1 β, IL-6, IL-17A, and IL-33. Heliyon 2023; 9:e14340. [PMID: 36967976 PMCID: PMC10031375 DOI: 10.1016/j.heliyon.2023.e14340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/19/2023] [Accepted: 03/01/2023] [Indexed: 03/17/2023] Open
Abstract
Objective This study aims to compare the salivary and gingival crevicular fluid (GCF) concentrations of five cytokines: IL-1β, IL-6, IL-17A, IL-33, and Tumor Necrosis Factor-alpha (TNF-α) in patients with OSA and their association with periodontitis. Methods Samples of saliva and GCF were obtained from 84 patients classified into four groups according to periodontal and OSA diagnosis: G1(H) healthy patients, G2(P) periodontitis and non-OSA patients, G3(OSA) OSA and non-periodontitis patients, and G4(P-OSA) periodontitis and OSA patients. The cytokines in the samples were quantified using multiplexed bead immunoassays. Data were analyzed with the Kruskal-Wallis test, Dunn's multiple comparisons test, and the Spearman correlation test. Results Stage III periodontitis was the highest in patients with severe OSA (69%; p=0.0142). Similar levels of IL-1β and IL-6 in saliva were noted in G2(P) and G4(P-OSA). The IL-6, IL-17A and IL-33 levels were higher in the GCF of G4(P-OSA). There was a significant positive correlation between IL-33 in saliva and stage IV periodontitis in G4(P-OSA) (r s = 0.531). The cytokine profile of the patients in G4(P-OSA) with Candida spp. had an increase of the cytokine's levels compared to patients who did not have the yeast. Conclusions OSA may increase the risk of developing periodontitis due to increase of IL-1β and IL-6 in saliva and IL-6, IL-17A and IL-33 in GCF that share the activation of the osteoclastogenesis. Those cytokines may be considered as biomarkers of OSA and periodontitis.
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20
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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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21
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Verbraecken J. Respiratory event duration in obstructive sleep apnea: don't forget the chemical drive ! Sleep Med Rev 2023; 68:101765. [PMID: 36924700 DOI: 10.1016/j.smrv.2023.101765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 02/14/2023] [Indexed: 03/16/2023]
Affiliation(s)
- Johan Verbraecken
- Department of Pulmonary Medicine and Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital and University of Antwerp, Drie Eikenstraat 655, 2650, Edegem, Antwerp, Belgium.
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22
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Guo J, Dai L, Luo J, Huang R, Xiao Y. Shorter respiratory event duration is related to prevalence of type 2 diabetes. Front Endocrinol (Lausanne) 2023; 14:1105781. [PMID: 36875453 PMCID: PMC9978406 DOI: 10.3389/fendo.2023.1105781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 02/03/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND Obstructive sleep apnea (OSA) is a heterogeneous sleep disorder often comorbid with metabolic diseases, and type 2 diabetes (T2DM) is one of them. Although apnea hypopnea index (AHI) is currently the diagnostic criteria for OSA severity, a controversial relationship between AHI and T2DM has been found. On the other hand, the duration of apnea-hypopnea events has been shown to be a useful metric for predicting mortality. This study aimed to test whether average respiratory event duration was associated with prevalence of T2DM. METHODS Patients referred to the sleep clinic were recruited in the study. Baseline clinical characteristics and polysomnography parameters including average respiratory event duration were collected. The association of average respiratory event duration with the prevalence of T2DM was evaluated by univariate and multivariate logistic regression analyses. RESULTS A total of 260 participants were enrolled, and 92 (35.4%) had T2DM. Univariate analysis revealed that age, body mass index (BMI), total sleep time, sleep efficiency, history of hypertension, and shorter average respiratory event duration were associated with T2DM. In multivariate analysis, only age and BMI remained significant. While average respiratory event duration was insignificant in multivariate analysis, subtype event analysis showed that shorter average apnea duration was both significant in univariate (OR, 0.95; 95% CI, 0.92-0.98) and multivariate analyses (OR, 0.95; 95% CI, 0.91-0.99). Neither average hypopnea duration nor AHI was associated with T2DM. Significant association (OR, 1.19; 95% CI, 1.12-1.25) was observed between shorter average apnea duration and lower respiratory arousal threshold after multivariate adjustment. However, causal mediation analysis revealed no mediating effect of arousal threshold on average apnea duration and T2DM. CONCLUSION The average apnea duration may be a useful metric in the diagnosis of OSA comorbidity. Shorter average apnea duration indicating poor sleep quality and augmented autonomic nervous system responses might be the potential pathological mechanisms leading to T2DM.
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23
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Lane JM, Qian J, Mignot E, Redline S, Scheer FAJL, Saxena R. Genetics of circadian rhythms and sleep in human health and disease. Nat Rev Genet 2023; 24:4-20. [PMID: 36028773 PMCID: PMC10947799 DOI: 10.1038/s41576-022-00519-z] [Citation(s) in RCA: 56] [Impact Index Per Article: 56.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2022] [Indexed: 12/13/2022]
Abstract
Circadian rhythms and sleep are fundamental biological processes integral to human health. Their disruption is associated with detrimental physiological consequences, including cognitive, metabolic, cardiovascular and immunological dysfunctions. Yet many of the molecular underpinnings of sleep regulation in health and disease have remained elusive. Given the moderate heritability of circadian and sleep traits, genetics offers an opportunity that complements insights from model organism studies to advance our fundamental molecular understanding of human circadian and sleep physiology and linked chronic disease biology. Here, we review recent discoveries of the genetics of circadian and sleep physiology and disorders with a focus on those that reveal causal contributions to complex diseases.
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Affiliation(s)
- Jacqueline M Lane
- Center for Genomic Medicine and Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Jingyi Qian
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Emmanuel Mignot
- Center for Narcolepsy, Stanford University, Palo Alto, California, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Frank A J L Scheer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
| | - Richa Saxena
- Center for Genomic Medicine and Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital; and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
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24
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Xu H, Liu F, Li Z, Li X, Liu Y, Li N, Zhang X, Gao Z, Zhang X, Liu Y, Zou J, Meng L, Liu S, Zhu H, Tang X, Wu H, Su K, Chen B, Yu D, Ye H, Chen H, Yi H, Yin S, Guan J, Shi Y. Genome-Wide Association Study of Obstructive Sleep Apnea and Objective Sleep-related Traits Identifies Novel Risk Loci in Han Chinese Individuals. Am J Respir Crit Care Med 2022; 206:1534-1545. [PMID: 35819321 DOI: 10.1164/rccm.202109-2044oc] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Rationale: Previous genetic studies of obstructive sleep apnea (OSA) have limitations in terms of precise case definition, integrated quantitative traits, and interpretation of genetic functions; thus, the heritability of OSA remains poorly explained. Objectives: To identify novel genetic variants associated with OSA and objective sleep-related traits and to explore their functional roles. Methods: A genome-wide association study was performed in 20,590 Han Chinese individuals (5,438 OSA and 15,152 control samples). Human samples and point mutation knockin mice were used for follow-up investigation of gene functions. Measurements and Main Results: Two characteristic study-wide significant loci (P < 2.63 × 10-9) for OSA were identified: the PACRG intronic variant rs6455893 on 6q26 (odds ratio [OR] = 1.62; 95% confidence interval [CI], 1.39-1.89; P = 6.98 × 10-10) and the missense variant rs3746804 (p.Pro267Leu) in the riboflavin transporter SLC52A3 on 20p13 (OR = 0.83; 95% CI, 0.79-0.88; P = 7.57 × 10-10). In addition, 18 genome-wide significant loci associated with quantitative OSA and objective sleep-related traits were identified, 5 of which exceeded the study-wide significance threshold. Rs3746804 was associated with elevated serum riboflavin concentrations, and the corresponding mutation in mice increased riboflavin concentrations, suggesting that this variant may facilitate riboflavin uptake and riboflavin-dependent physiological activity. Conclusions: We identified several novel genome-wide significant loci associated with OSA and objective sleep-related traits. Our findings provide insight into the genetic architecture of OSA and suggest that SLC52A3 might be a therapeutic target, whereas riboflavin might be a therapeutic agent.
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Affiliation(s)
- Huajun Xu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Feng Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Zhiqiang Li
- The Affiliated Hospital of Qingdao University & the Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, China; and.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, and
| | - Xinyi Li
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yuenan Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Niannian Li
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoxu Zhang
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Zhenfei Gao
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoman Zhang
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yupu Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Jianyin Zou
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Lili Meng
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Suru Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Huaming Zhu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xulan Tang
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Hongmin Wu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Kaiming Su
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Bin Chen
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Dongzhen Yu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Haibo Ye
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Haoyan Chen
- State Key Laboratory for Oncogenes and Related Genes, Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hongliang Yi
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Shankai Yin
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Jian Guan
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yongyong Shi
- The Affiliated Hospital of Qingdao University & the Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, China; and.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, and
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25
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Advances in Molecular Pathology of Obstructive Sleep Apnea. Molecules 2022; 27:molecules27238422. [PMID: 36500515 PMCID: PMC9739159 DOI: 10.3390/molecules27238422] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 12/03/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a common syndrome that features a complex etiology and set of mechanisms. Here we summarized the molecular pathogenesis of OSA, especially the prospective mechanism of upper? airway dilator fatigue and the current breakthroughs. Additionally, we also introduced the molecular mechanism of OSA in terms of related studies on the main signaling pathways and epigenetics alterations, such as microRNA, long non-coding RNA, and DNA methylation. We also reviewed small molecular compounds, which are potential targets for gene regulations in the future, that are involved in the regulation of OSA. This review will be beneficial to point the way for OSA research within the next decade.
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26
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Liang J, Wang H, Cade BE, Kurniansyah N, He KY, Lee J, Sands SA, A. Brody J, Chen H, Gottlieb DJ, Evans DS, Guo X, Gharib SA, Hale L, Hillman DR, Lutsey PL, Mukherjee S, Ochs-Balcom HM, Palmer LJ, Purcell S, Saxena R, Patel SR, Stone KL, Tranah GJ, Boerwinkle E, Lin X, Liu Y, Psaty BM, Vasan RS, Manichaikul A, Rich SS, Rotter JI, Sofer T, Redline S, Zhu X. Targeted Genome Sequencing Identifies Multiple Rare Variants in Caveolin-1 Associated with Obstructive Sleep Apnea. Am J Respir Crit Care Med 2022; 206:1271-1280. [PMID: 35822943 PMCID: PMC9746833 DOI: 10.1164/rccm.202203-0618oc] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 07/06/2022] [Indexed: 01/04/2023] Open
Abstract
Rationale: Obstructive sleep apnea (OSA) is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. There is strong clinical and epidemiologic evidence supporting the importance of genetic factors influencing OSA but limited data implicating specific genes. Objectives: To search for rare variants contributing to OSA severity. Methods: Leveraging high-depth genomic sequencing data from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and imputed genotype data from multiple population-based studies, we performed linkage analysis in the CFS (Cleveland Family Study), followed by multistage gene-based association analyses in independent cohorts for apnea-hypopnea index (AHI) in a total of 7,708 individuals of European ancestry. Measurements and Main Results: Linkage analysis in the CFS identified a suggestive linkage peak on chromosome 7q31 (LOD = 2.31). Gene-based analysis identified 21 noncoding rare variants in CAV1 (Caveolin-1) associated with lower AHI after accounting for multiple comparisons (P = 7.4 × 10-8). These noncoding variants together significantly contributed to the linkage evidence (P < 10-3). Follow-up analysis revealed significant associations between these variants and increased CAV1 expression, and increased CAV1 expression in peripheral monocytes was associated with lower AHI (P = 0.024) and higher minimum overnight oxygen saturation (P = 0.007). Conclusions: Rare variants in CAV1, a membrane-scaffolding protein essential in multiple cellular and metabolic functions, are associated with higher CAV1 gene expression and lower OSA severity, suggesting a novel target for modulating OSA severity.
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Affiliation(s)
- Jingjing Liang
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Karen Y. He
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Scott A. Sands
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
| | | | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, and
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- VA Boston Healthcare System, Boston, Massachusetts
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences and
- Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, University of Washington Medicine Sleep Center, Department of Medicine
| | - Lauren Hale
- Family, Population, and Preventive Medicine, Program in Public Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
| | - David R. Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - Pamela L. Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Service, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia
- Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute, College Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
| | - Heather M. Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Shaun Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
- Center for Genomic Medicine and
- Department of Anesthesia, Pain and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Sanjay R. Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Eric Boerwinkle
- Cardiovascular Health Research Unit, Department of Medicine
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Xihong Lin
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine
- Department of Epidemiology, and
- Department of Health Services and Population Health, University of Washington, Seattle, Washington
| | - Ramachandran S. Vasan
- Framingham Heart Study, Framingham, Massachusetts
- Section of Preventive Medicine and Epidemiology and
- Section of Cardiology, Department of Medicine, School of Medicine, and
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts; and
| | - Ani Manichaikul
- Center for Public Health Genomics and
- Biostatistics Section, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
| | | | - Jerome I. Rotter
- California Pacific Medical Center Research Institute, San Francisco, California
- Institute for Translational Genomics and Population Sciences and
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - TOPMed Sleep Working Group
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, and
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
- Cardiovascular Health Research Unit, Department of Medicine
- Computational Medicine Core, Center for Lung Biology, University of Washington Medicine Sleep Center, Department of Medicine
- Department of Epidemiology, and
- Department of Health Services and Population Health, University of Washington, Seattle, Washington
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, and
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas
- VA Boston Healthcare System, Boston, Massachusetts
- California Pacific Medical Center Research Institute, San Francisco, California
- Institute for Translational Genomics and Population Sciences and
- Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
- Family, Population, and Preventive Medicine, Program in Public Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
- Sleep Health Service, Respiratory and Sleep Service, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia
- Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute, College Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
- Center for Genomic Medicine and
- Department of Anesthesia, Pain and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
- Framingham Heart Study, Framingham, Massachusetts
- Section of Preventive Medicine and Epidemiology and
- Section of Cardiology, Department of Medicine, School of Medicine, and
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts; and
- Center for Public Health Genomics and
- Biostatistics Section, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia
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Oksenberg A, Leppänen T. Duration of respiratory events in obstructive sleep apnea: In search of paradoxical results. Sleep Med Rev 2022; 68:101728. [PMID: 36521320 DOI: 10.1016/j.smrv.2022.101728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/15/2022] [Accepted: 11/23/2022] [Indexed: 12/02/2022]
Abstract
Research related to the duration of respiratory events in obstructive sleep apnea (OSA) has been scarce, perhaps due to the dominant role played by the apnea-hypopnea index (AHI) in the diagnosis and severity estimation of OSA. Lately, however, researchers and clinicians have started to acknowledge the importance of this overlooked parameter. Intuitively, 40-s-long apneas have more harmful physiological and health consequences than 10-s-long apneas. But is this the case? Here, we review the research-based evidence showing physiological, hemodynamic, clinical, sleep quality, and health consequences of long vs. short respiratory events. Most of the reviewed studies support the idea that longer respiratory events have more severe physiological and clinical consequences than shorter events, most probably due to the higher hypoxic burden associated with longer respiratory events. However, a few but highly qualified studies provide clear evidence that short respiratory events have also a deleterious effect on sleep and the physiological and clinical aspects of OSA. The somewhat paradoxical findings that short respiratory events are also associated with a high risk of all-cause mortality is a serious concern. From these results, it is therefore evident that the duration of respiratory events should be quantified when diagnosing and assessing the severity of OSA.
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Téllez-Corral MA, Herrera-Daza E, Cuervo-Jimenez HK, Arango-Jimenez N, Morales-Vera DZ, Velosa-Porras J, Latorre-Uriza C, Escobar-Arregoces FM, Hidalgo-Martinez P, Cortés ME, Roa-Molina NS, Otero L, Parra-Giraldo CM. Patients with obstructive sleep apnea can favor the predisposing factors of periodontitis by the presence of P. melaninogenica and C. albicans, increasing the severity of the periodontal disease. Front Cell Infect Microbiol 2022; 12:934298. [PMID: 36189359 PMCID: PMC9519896 DOI: 10.3389/fcimb.2022.934298] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/10/2022] [Indexed: 12/02/2022] Open
Abstract
Objective The aim of this study was to analyze the cultivable oral microbiota of patients with obstructive sleep apnea (OSA) and its association with the periodontal condition. Methods The epidemiology profile of patients and their clinical oral characteristics were determined. The microbiota was collected from saliva, subgingival plaque, and gingival sulcus of 93 patients classified into four groups according to the periodontal and clinical diagnosis: Group 1 (n = 25), healthy patients; Group 2 (n = 17), patients with periodontitis and without OSA; Group 3 (n = 19), patients with OSA and without periodontitis; and Group 4 (n = 32), patients with periodontitis and OSA. Microbiological samples were cultured, classified, characterized macroscopically and microscopically, and identified by MALDI-TOF-MS. The distribution of complexes and categories of microorganisms and correlations were established for inter- and intra-group of patients and statistically evaluated using the Spearman r test (p-value <0.5) and a multidimensional grouping analysis. Result There was no evidence between the severity of OSA and periodontitis (p = 0.2813). However, there is a relationship between the stage of periodontitis and OSA (p = 0.0157), with stage III periodontitis being the one with the highest presence in patients with severe OSA (prevalence of 75%; p = 0.0157), with more cases in men. The greatest distribution of the complexes and categories was found in oral samples of patients with periodontitis and OSA (Group 4 P-OSA); even Candida spp. were more prevalent in these patients. Periodontitis and OSA are associated with comorbidities and oral conditions, and the microorganisms of the orange and red complexes participate in this association. The formation of the dysbiotic biofilm was mainly related to the presence of these complexes in association with Candida spp. Conclusion Periodontopathogenic bacteria of the orange complex, such as Prevotella melaninogenica, and the yeast Candida albicans, altered the cultivable oral microbiota of patients with periodontitis and OSA in terms of diversity, possibly increasing the severity of periodontal disease. The link between yeasts and periodontopathogenic bacteria could help explain why people with severe OSA have such a high risk of stage III periodontitis. Antimicrobial approaches for treating periodontitis in individuals with OSA could be investigated in vitro using polymicrobial biofilms, according to our findings.
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Affiliation(s)
- Mayra A. Téllez-Corral
- Centro de Investigaciones Odontológicas, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
- Unidad de Investigación en Proteómica y Micosis Humanas, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
- Facultade de Odontología, Programa de Pós-graduação em Inovação Tecnológica, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Eddy Herrera-Daza
- Departamento de Matemáticas, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Hayde K. Cuervo-Jimenez
- Unidad de Investigación en Proteómica y Micosis Humanas, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Natalia Arango-Jimenez
- Periodoncia, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Darena Z. Morales-Vera
- Periodoncia, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Juliana Velosa-Porras
- Centro de Investigaciones Odontológicas, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Catalina Latorre-Uriza
- Centro de Investigaciones Odontológicas, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
- Periodoncia, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Francina M. Escobar-Arregoces
- Centro de Investigaciones Odontológicas, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
- Periodoncia, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Patricia Hidalgo-Martinez
- Clínica del Sueño, Hospital Universitario San Ignacio y Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Maria E. Cortés
- Facultade de Odontología, Programa de Pós-graduação em Inovação Tecnológica, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Nelly S. Roa-Molina
- Centro de Investigaciones Odontológicas, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Liliana Otero
- Centro de Investigaciones Odontológicas, Facultad de Odontología, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
| | - Claudia M. Parra-Giraldo
- Unidad de Investigación en Proteómica y Micosis Humanas, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá D.C., Colombia
- *Correspondence: Claudia M. Parra-Giraldo,
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Circulating ADAMTS13 Levels Are Associated with an Increased Occurrence of Obstructive Sleep Apnea. DISEASE MARKERS 2022; 2022:1504137. [PMID: 35392493 PMCID: PMC8983172 DOI: 10.1155/2022/1504137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 02/25/2022] [Indexed: 11/17/2022]
Abstract
Background and Aims. Obstructive sleep apnea (OSA) is strongly associated with obesity, metabolic diseases, coronary artery disease (CAD), stroke, hypertension, and other disorders. This study assessed the relationship between circulating a disintegrin and metalloprotease with a thrombospondin type 1 motif, member 13 (ADAMTS13) levels and the presence of OSA. Materials and Methods. This cross-sectional study included a total of 223 patients. We used a powerful high-throughput multiplexed immunobead-based assay to detect circulating levels of ADAMTS13. The associations between circulating ADAMTS13 levels and OSA were evaluated by multivariate logistic regression analysis. Results. Circulating ADAMTS13 levels were significantly elevated in patients with OSA compared with controls (0.8 vs. 2.7 μg/mL, respectively,
). After adjusting for confounding factors, circulating ADAMTS13 levels were significantly independently associated with the presence of OSA (
, 95% confidence interval (CI) =4.11–24.13,
). Furthermore, circulating ADAMTS13 levels showed discriminatory accuracy in assessing the presence of OSA (area under the curve: 0.87, 95% CI 0.81–0.93,
). Conclusion. Circulating ADAMTS13 levels were significantly correlated with the presence of OSA. ADAMTS13 may therefore function as a novel biomarker for monitoring the development and progression of OSA.
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30
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Cade BE, Hassan SM, Dashti HS, Kiernan M, Pavlova MK, Redline S, Karlson EW. Sleep apnea phenotyping and relationship to disease in a large clinical biobank. JAMIA Open 2022; 5:ooab117. [PMID: 35156000 PMCID: PMC8826997 DOI: 10.1093/jamiaopen/ooab117] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 12/08/2021] [Accepted: 12/28/2021] [Indexed: 11/14/2022] Open
Abstract
Objective Sleep apnea is associated with a broad range of pathophysiology. While electronic health record (EHR) information has the potential for revealing relationships between sleep apnea and associated risk factors and outcomes, practical challenges hinder its use. Our objectives were to develop a sleep apnea phenotyping algorithm that improves the precision of EHR case/control information using natural language processing (NLP); identify novel associations between sleep apnea and comorbidities in a large clinical biobank; and investigate the relationship between polysomnography statistics and comorbid disease using NLP phenotyping. Materials and Methods We performed clinical chart reviews on 300 participants putatively diagnosed with sleep apnea and applied International Classification of Sleep Disorders criteria to classify true cases and noncases. We evaluated 2 NLP and diagnosis code-only methods for their abilities to maximize phenotyping precision. The lead algorithm was used to identify incident and cross-sectional associations between sleep apnea and common comorbidities using 4876 NLP-defined sleep apnea cases and 3× matched controls. Results The optimal NLP phenotyping strategy had improved model precision (≥0.943) compared to the use of one diagnosis code (≤0.733). Of the tested diseases, 170 disorders had significant incidence odds ratios (ORs) between cases and controls, 8 of which were confirmed using polysomnography (n = 4544), and 281 disorders had significant prevalence OR between sleep apnea cases versus controls, 41 of which were confirmed using polysomnography data. Discussion and Conclusion An NLP-informed algorithm can improve the accuracy of case-control sleep apnea ascertainment and thus improve the performance of phenome-wide, genetic, and other EHR analyses of a highly prevalent disorder. Sleep apnea is a common disease in which breathing partially or completely pauses during sleep, leading to less oxygen in the blood, repeated awakenings, and increased risk of developing multiple diseases. Current studies of sleep apnea often have relatively few participants due to the challenge of performing overnight sleep recordings. Electronic health record (EHR) billing code diagnoses of sleep apnea could be repurposed to increase the size of research studies, but the accuracy of the diagnoses is reduced. We developed a reusable algorithm that improves the accuracy of EHR sleep apnea diagnoses using natural language processing to extract information from clinical notes. As a proof of concept, we used the algorithm to identify hundreds of diseases that are increased among participants with sleep apnea compared to similar patients without sleep apnea. Many of these disease relationships with sleep apnea have not been previously recognized. This improved algorithm will help to accelerate future large-scale investigations of the causes and consequences of sleep apnea.
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Affiliation(s)
- Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
| | - Syed Moin Hassan
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary Disease and Critical Care Medicine, University of Vermont, Burlington, Vermont, USA
| | - Hassan S Dashti
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Melissa Kiernan
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- NeuroCare Center for Sleep, Newton, Massachusetts, USA
| | - Milena K Pavlova
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Elizabeth W Karlson
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
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31
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Li J, Lv Q, Sun H, Yang Y, Jiao X, Yang S, Yu H, Qin Y. Combined Association Between ADIPOQ, PPARG, and TNF Genes Variants and Obstructive Sleep Apnea in Chinese Han Population. Nat Sci Sleep 2022; 14:363-372. [PMID: 35264890 PMCID: PMC8901229 DOI: 10.2147/nss.s343205] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 02/09/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Obstructive sleep apnea (OSA) is a common chronic polygenic disease. Multiple genetic markers associated with OSA have been identified by genome-wide association studies. Here, we aimed to construct a polygenic risk score (PRS) and examine the association with the presence of OSA in a Chinese Han Population. PATIENTS AND METHODS This study included 1057 individuals who were genotyped for nine susceptibility loci from three genes (ADIPOQ, PPARG, and TNF), from which each individual's PRS was calculated by summing the number of risk alleles. The associations between PRS and OSA were determined by logistic regression analyses. Model discrimination was assessed by a receiver operating characteristic (ROC) curve using bootstrapping with 1000 resamples. RESULTS The subjects included 874 with OSA and 183 controls. A higher PRS was associated with an increased apnea-hypopnea index (AHI). The PRS was an important risk factor for the development of OSA (OR = 1.237 per SD, P = 0.030). Subjects with higher PRS had a 2.88-fold (95% CI: 1.393-5.955, P = 0.004) and 5.402-fold (95% CI: 2.311-12.624, P<0.001) greater risk for having OSA and moderate-to-severe OSA, respectively, compared with those with lower genetic risk. More importantly, compared with determination of risk based solely on clinical factors, addition of the PRS increased discriminatory accuracy for both OSA (AUC from 0.75 to 0.78, P = 0.02) and moderate-to-severe OSA (AUC from 0.80 to 0.83, P = 0.02). CONCLUSION Our study suggests that the PRS is independently associated with AHI and OSA. Combining PRS with conventional risk factors could improve the discrimination of OSA.
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Affiliation(s)
- Juan Li
- Key Laboratory of Upper Airway Dysfunction-Related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, People's Republic of China.,Emergency Department, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China
| | - Qianwen Lv
- Key Laboratory of Upper Airway Dysfunction-Related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, People's Republic of China
| | - Haili Sun
- Key Laboratory of Upper Airway Dysfunction-Related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, People's Republic of China
| | - Yunyun Yang
- Key Laboratory of Upper Airway Dysfunction-Related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, People's Republic of China.,Key Laboratory of Remodeling-related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, People's Republic of China
| | - Xiaolu Jiao
- Key Laboratory of Upper Airway Dysfunction-Related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, People's Republic of China.,Key Laboratory of Remodeling-related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, People's Republic of China
| | - Song Yang
- Key Laboratory of Upper Airway Dysfunction-Related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, People's Republic of China
| | - Huahui Yu
- Key Laboratory of Upper Airway Dysfunction-Related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, People's Republic of China.,Key Laboratory of Remodeling-related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, People's Republic of China
| | - Yanwen Qin
- Key Laboratory of Upper Airway Dysfunction-Related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, and Blood Vessel Diseases, Beijing, 100029, People's Republic of China.,Key Laboratory of Remodeling-related Cardiovascular Diseases, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, People's Republic of China
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32
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Schott W, Tao S, Shea L. Co-occurring conditions and racial-ethnic disparities: Medicaid enrolled adults on the autism spectrum. Autism Res 2022; 15:70-85. [PMID: 34854249 PMCID: PMC8812993 DOI: 10.1002/aur.2644] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 09/19/2021] [Accepted: 11/16/2021] [Indexed: 01/03/2023]
Abstract
Evidence suggests that autistic adults have higher odds of developing several co-occurring conditions, but less is known about disparities by race and ethnicity in this population. Using 2008-2012 Medicaid Analytic eXtract (MAX) data, we (i) identify the prevalence of co-occurring conditions among the population of autistic adult Medicaid beneficiaries compared to a matched sample of those without an autism spectrum disorder (ASD) diagnosis, (ii) conduct logistic regression to estimate odds ratios for these health conditions predicted by an autism diagnosis, and (iii) estimate odds of having these health conditions as predicted by racial/ethnic group among the autistic population only. Overall, autistic adults did not have higher prevalence of some major health conditions (cardiovascular conditions, stroke, cancer, cardiovascular disease), but they did have higher odds of others (nutrition conditions, epilepsy, disorders of the central nervous system). Analysis by racial/ethnic group, however, shows that Black, Hispanic, and Asian autistic beneficiaries had higher odds of diabetes, hospitalized cardiovascular diseases, and hypertension, among other conditions. Policymakers should be aware that racial disparities found in the general population persist in the autistic population and should work to implement systems and programs to improve screening and preventive care for minority autistic populations. LAY SUMMARY: Autistic adults may have several co-occurring physical and mental health conditions, which could differ by racial/ethnic group. We find that, compared to the general Medicaid population, autistic adult Medicaid beneficiaries have elevated odds of some health conditions, like epilepsy and nutrition conditions, as well as some psychiatric conditions, such as anxiety and attention disorders. We also find that many of the same health disparities by racial/ethnic group in the general population persist among the autistic adult Medicaid population. For example, Black, Hispanic, and Asian Medicaid autistic beneficiaries have higher odds of diabetes, and Black and Hispanic autistic beneficiaries have higher odds of obesity and nutrition conditions than white autistic beneficiaries.
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Affiliation(s)
- Whitney Schott
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, 3020 Market Street, Ste 560, Philadelphia, PA 19104
| | - Sha Tao
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, 3020 Market Street, Ste 560, Philadelphia, PA 19104
| | - Lindsay Shea
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, 3020 Market Street, Ste 560, Philadelphia, PA 19104
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Yi M, Tan Y, Pi Y, Zhou Y, Fei Q, Zhao W, Zhang Y. Variants of candidate genes associated with the risk of obstructive sleep apnea. Eur J Clin Invest 2022; 52:e13673. [PMID: 34435353 DOI: 10.1111/eci.13673] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/16/2021] [Accepted: 08/24/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND The researches on the associations between different candidate genes and obstructive sleep apnea (OSA) are inconsistent. Here, we performed a comprehensive qualitative and quantitative analysis to estimate the contribution of variants from candidate genes to the risk of OSA. METHODS Qualitative analysis was conducted to find the relationships for all included genes. Then, quantitative analysis of both allele models and genotype models was applied to evaluate the risk variants for OSA. Furthermore, a similar analysis was performed in different ethnic groups. RESULTS We included 152 publications containing 75 genes for qualitative analysis. Among them, we included 93 articles containing 28 variants from 16 genes for quantitative analysis. Through allele models, we found 10 risk variants for OSA (rs1801133 of MTHFR, ɛ4 of ApoE, -1438G/A of 5-HT2A, -308G/A of TNF-α, Pro1019Pro of LEPR, rs1130864 and rs2794521 of CRP, D/I of ACE, LPR and VNTR of 5-HTT) with the ORs of 1.21-2.07 in global population. We found that the variant of ɛ2 of ApoE could uniquely decrease the risk of OSA in the East Asian subgroup, while the other 6 variants, including ɛ4 in ApoE, -308G/A in TNF-α, Pro1019Pro in LEPR, D/I in ACE, LPR and VNTR in 5-HTT, could increase the risk of OSA. As for the European subpopulation, we only found that -308G/A in TNF-α could increase the risk for OSA. CONCLUSIONS Eleven variants from the candidate genes are associated with the risk of OSA, which also show ethnicity differences in East Asian and European subgroups.
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Affiliation(s)
- Minhan Yi
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.,School of Life Sciences, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yun Tan
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.,School of Life Sciences, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yuze Pi
- School of Life Sciences, Central South University, Changsha, China
| | - Yicen Zhou
- School of Life Sciences, Central South University, Changsha, China
| | - Quanming Fei
- Xiangya Medical School, Central South University, Changsha, China
| | - Wangcheng Zhao
- Xiangya Medical School, Central South University, Changsha, China
| | - Yuan Zhang
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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34
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Raptis DG, Vavougios GD, Siachpazidou DI, Pastaka C, Xiromerisiou G, Gourgoulianis KI, Malli F. Intergenic SNPs in Obstructive Sleep Apnea Syndrome: Revealing Metabolic, Oxidative Stress and Immune-Related Pathways. Diagnostics (Basel) 2021; 11:diagnostics11101753. [PMID: 34679450 PMCID: PMC8534397 DOI: 10.3390/diagnostics11101753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 09/14/2021] [Accepted: 09/18/2021] [Indexed: 11/16/2022] Open
Abstract
There is strong evidence supporting the contribution of genetic factors to obstructive sleep apnea syndrome (OSAHS) susceptibility. In the current study we analyzed both in a clinical cohort and in silico, four single nucleotide polymorphisms SNPs, rs999944, rs75108997, rs35329661 and rs116133558 that have been associated with OSAHS. In 102 patients with OSAHS and 50 healthy volunteers, genetic testing of the above polymorphisms was performed. Polymorphism rs116133558 was invariant in our study population, whereas polymorphism rs35329661 was more than 95% invariant. Polymorphism rs999944 displayed significant (>5%) variance in our study population and was used in the binary logistic regression model. In silico analyses of the mechanism by which these three SNPs may affect the pathophysiology of OSAHS revealed a transcriptomic network of 274 genes. This network was involved in multiple cancer-associated gene signatures, as well as the adipogenesis pathway. This study, uncover a regulatory network in OSAHS using transcriptional targets of intergenic SNPs, and map their contributions in the pathophysiology of the syndrome on the interplay between adipocytokine signaling and cancer-related transcriptional dysregulation.
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Affiliation(s)
- Dimitrios G. Raptis
- Respiratory Medicine Department, School of Medicine, University of Thessaly, 41334 Larissa, Greece; (D.G.R.); (G.D.V.); (D.I.S.); (C.P.); (K.I.G.)
| | - George D. Vavougios
- Respiratory Medicine Department, School of Medicine, University of Thessaly, 41334 Larissa, Greece; (D.G.R.); (G.D.V.); (D.I.S.); (C.P.); (K.I.G.)
| | - Dimitra I. Siachpazidou
- Respiratory Medicine Department, School of Medicine, University of Thessaly, 41334 Larissa, Greece; (D.G.R.); (G.D.V.); (D.I.S.); (C.P.); (K.I.G.)
| | - Chaido Pastaka
- Respiratory Medicine Department, School of Medicine, University of Thessaly, 41334 Larissa, Greece; (D.G.R.); (G.D.V.); (D.I.S.); (C.P.); (K.I.G.)
| | - Georgia Xiromerisiou
- Department of Neurology, School of Medicine, University of Thessaly, 41334 Larissa, Greece;
| | - Konstantinos I. Gourgoulianis
- Respiratory Medicine Department, School of Medicine, University of Thessaly, 41334 Larissa, Greece; (D.G.R.); (G.D.V.); (D.I.S.); (C.P.); (K.I.G.)
| | - Foteini Malli
- Respiratory Medicine Department, School of Medicine, University of Thessaly, 41334 Larissa, Greece; (D.G.R.); (G.D.V.); (D.I.S.); (C.P.); (K.I.G.)
- Respiratory Disorders Lab, Faculty of Nursing, University of Thessaly, 41334 Larissa, Greece
- Correspondence: ; Tel.: +30-241-068-4612; Fax: +30-241-350-1563
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Cade BE, Lee J, Sofer T, Wang H, Zhang M, Chen H, Gharib SA, Gottlieb DJ, Guo X, Lane JM, Liang J, Lin X, Mei H, Patel SR, Purcell SM, Saxena R, Shah NA, Evans DS, Hanis CL, Hillman DR, Mukherjee S, Palmer LJ, Stone KL, Tranah GJ, Abecasis GR, Boerwinkle EA, Correa A, Cupples LA, Kaplan RC, Nickerson DA, North KE, Psaty BM, Rotter JI, Rich SS, Tracy RP, Vasan RS, Wilson JG, Zhu X, Redline S. Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. Genome Med 2021; 13:136. [PMID: 34446064 PMCID: PMC8394596 DOI: 10.1186/s13073-021-00917-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/28/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing. METHODS The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap. RESULTS We identified a multi-ethnic set-based rare-variant association (p = 3.48 × 10-8) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways. CONCLUSIONS We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.
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Affiliation(s)
- Brian E. Cade
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Jiwon Lee
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA
| | - Tamar Sofer
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA
| | - Heming Wang
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Man Zhang
- grid.411024.20000 0001 2175 4264Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201 USA
| | - Han Chen
- grid.267308.80000 0000 9206 2401Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA ,grid.267308.80000 0000 9206 2401Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA
| | - Sina A. Gharib
- grid.34477.330000000122986657Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA 98195 USA
| | - Daniel J. Gottlieb
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.410370.10000 0004 4657 1992VA Boston Healthcare System, Boston, MA 02132 USA
| | - Xiuqing Guo
- grid.239844.00000 0001 0157 6501The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Jacqueline M. Lane
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Jingjing Liang
- grid.67105.350000 0001 2164 3847Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Xihong Lin
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA
| | - Hao Mei
- grid.410721.10000 0004 1937 0407Department of Data Science, University of Mississippi Medical Center, Jackson, MS 29216 USA
| | - Sanjay R. Patel
- grid.21925.3d0000 0004 1936 9000Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213 USA
| | - Shaun M. Purcell
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Richa Saxena
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Neomi A. Shah
- grid.59734.3c0000 0001 0670 2351Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Daniel S. Evans
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | - Craig L. Hanis
- grid.267308.80000 0000 9206 2401Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA
| | - David R. Hillman
- grid.3521.50000 0004 0437 5942Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia 6009 Australia
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia Australia ,grid.1014.40000 0004 0367 2697Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia Australia
| | - Lyle J. Palmer
- grid.1010.00000 0004 1936 7304School of Public Health, University of Adelaide, Adelaide, South Australia 5000 Australia
| | - Katie L. Stone
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | - Gregory J. Tranah
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | | | - Gonçalo R. Abecasis
- grid.214458.e0000000086837370Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109 USA
| | - Eric A. Boerwinkle
- grid.267308.80000 0000 9206 2401Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030 USA
| | - Adolfo Correa
- grid.410721.10000 0004 1937 0407Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216 USA ,Jackson Heart Study, Jackson, MS 39216 USA
| | - L. Adrienne Cupples
- grid.189504.10000 0004 1936 7558Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118 USA ,grid.510954.c0000 0004 0444 3861Framingham Heart Study, Framingham, MA 01702 USA
| | - Robert C. Kaplan
- grid.251993.50000000121791997Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, 10461 USA
| | - Deborah A. Nickerson
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington, Seattle, WA 98195 USA ,grid.34477.330000000122986657Northwest Genomics Center, Seattle, WA 98105 USA
| | - Kari E. North
- grid.410711.20000 0001 1034 1720Department of Epidemiology and Carolina Center of Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA
| | - Bruce M. Psaty
- grid.34477.330000000122986657Cardiovascular Health Study, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA 98101 USA ,grid.488833.c0000 0004 0615 7519Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101 USA
| | - Jerome I. Rotter
- grid.239844.00000 0001 0157 6501The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Stephen S. Rich
- grid.27755.320000 0000 9136 933XCenter for Public Health Genomics, University of Virginia, Charlottesville, VA 22908 USA
| | - Russell P. Tracy
- grid.59062.380000 0004 1936 7689Department of Pathology, University of Vermont, Colchester, VT 05405 USA
| | - Ramachandran S. Vasan
- grid.510954.c0000 0004 0444 3861Framingham Heart Study, Framingham, MA 01702 USA ,grid.189504.10000 0004 1936 7558Sections of Preventive Medicine and Epidemiology and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118 USA ,grid.189504.10000 0004 1936 7558Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - James G. Wilson
- grid.410721.10000 0004 1937 0407Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216 USA
| | - Xiaofeng Zhu
- grid.67105.350000 0001 2164 3847Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Susan Redline
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.239395.70000 0000 9011 8547Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215 USA
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Borker PV, Reid M, Sofer T, Butler MP, Azarbarzin A, Wang H, Wellman A, Sands SA, Redline S. Non-REM Apnea and Hypopnea Duration Varies across Population Groups and Physiologic Traits. Am J Respir Crit Care Med 2021; 203:1173-1182. [PMID: 33285084 DOI: 10.1164/rccm.202005-1808oc] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Rationale: Symptoms and morbidities associated with obstructive sleep apnea (OSA) vary across individuals and are not predicted by the apnea-hypopnea index (AHI). Respiratory event duration is a heritable trait associated with mortality that may further characterize OSA.Objectives: We evaluated how hypopnea and apnea durations in non-REM (NREM) sleep vary across demographic groups and quantified their associations with physiological traits (loop gain, arousal threshold, circulatory delay, and pharyngeal collapsibility).Methods: Data were analyzed from 1,546 participants from the Multi-Ethnic Study of Atherosclerosis with an AHI ≥5. Physiological traits were derived using a validated model fit to the polysomnographic airflow signal. Multiple linear regression models were used to evaluate associations of event duration with demographic and physiological factors.Measurements and Main Results: Participants had a mean age ± SD of 68.9 ± 9.2 years, mean NREM hypopnea duration of 21.73 ± 5.60, and mean NREM apnea duration of 23.87 ± 7.44 seconds. In adjusted analyses, shorter events were associated with younger age, female sex, higher body mass index (P < 0.01, all), and Black race (P < 0.05). Longer events were associated with Asian race (P < 0.01). Shorter event durations were associated with lower circulatory delay (2.53 ± 0.13 s, P < 0.01), lower arousal threshold (1.39 ± 0.15 s, P < 0.01), reduced collapsibility (-0.71 ± 0.16 s, P < 0.01), and higher loop gain (-0.27 ± 0.11 s, P < 0.05) per SD change. Adjustment for physiological traits attenuated age, sex, and obesity associations and eliminated racial differences in event duration.Conclusions: Average event duration varies across population groups and provides information on ventilatory features and airway collapsibility not captured by the AHI.
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Affiliation(s)
- Priya V Borker
- Department of Pulmonary, Allergy, and Critical Care Medicine and.,Center for Sleep and Cardiovascular Outcomes Research, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michelle Reid
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts
| | - Matthew P Butler
- Oregon Institute of Occupational Health Sciences and.,Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,Division of Sleep and Circadian Disorders, Harvard Medical School, Boston, Massachusetts; and
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts
| | - Andrew Wellman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,Division of Sleep and Circadian Disorders, Harvard Medical School, Boston, Massachusetts; and
| | - Scott A Sands
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,Division of Sleep and Circadian Disorders, Harvard Medical School, Boston, Massachusetts; and
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts.,Division of Sleep and Circadian Disorders, Harvard Medical School, Boston, Massachusetts; and
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37
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Shi Y, Jiang Z, Jiang L, Xu J. Integrative analysis of key candidate genes and signaling pathways in acute coronary syndrome related to obstructive sleep apnea by bioinformatics. Sci Rep 2021; 11:14153. [PMID: 34239024 PMCID: PMC8266822 DOI: 10.1038/s41598-021-93789-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 06/28/2021] [Indexed: 11/28/2022] Open
Abstract
Although obstructive sleep apnea (OSA) has been clinically reported to be associated with acute coronary syndrome (ACS), the pathogenesis between the two is unclear. Herein, we analyzed and screened out the prospective molecular marker. To explore the candidate genes, as well as signaling cascades involved in ACS related to OSA, we extracted the integrated differentially expressed genes (DEGs) from the intersection of genes from the Gene Expression Omnibus (GEO) cohorts and text mining, followed by enrichment of the matching cell signal cascade through DAVID analysis. Moreover, the MCODE of Cytoscape software was employed to uncover the protein-protein interaction (PPI) network and the matching hub gene. A total of 17 and 56 integrated human DEGs in unstable angina (UA) and myocardial infarction (MI) group associated with OSAs that met the criteria of |log2 fold change (FC)|≥ 1, adjusted P < 0.05, respectively, were uncovered. After PPI network construction, the top five hub genes associated with UA were extracted, including APP, MAPK3, MMP9, CD40 and CD40LG, whereas those associated with MI were PPARG, MAPK1, MMP9, AGT, and TGFB1. The establishment of the aforementioned candidate key genes, as well as the enriched signaling cascades, provides promising molecular marker for OSA-related ACS, which will to provide a certain predictive value for the occurrence of ACS in OSA patients in the future.
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Affiliation(s)
- Yanxi Shi
- Department of Cardiology, Jiaxing Second Hospital, Jiaxing, China
| | - Zhengye Jiang
- Institute of Neurosurgery, School of Medicine, Xiamen University, Xiamen, China
| | - Liqin Jiang
- Department of Cardiology, Jiaxing Second Hospital, Jiaxing, China
| | - Jianjiang Xu
- Department of Cardiology, Jiaxing Second Hospital, Jiaxing, China.
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38
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Keenan BT, Webster JC, Wiemken AS, Lavi-Romer N, Nguyen T, Svenson KL, Galante RJ, Churchill GA, Pickup S, Pack AI, Schwab RJ. Heritability of fat distributions in male mice from the founder strains of the Diversity Outbred mouse population. G3-GENES GENOMES GENETICS 2021; 11:6171186. [PMID: 33720343 PMCID: PMC8104956 DOI: 10.1093/g3journal/jkab079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 03/08/2021] [Indexed: 01/22/2023]
Abstract
Specific fat distributions are risk factors for complex diseases, including coronary heart disease and obstructive sleep apnea. To demonstrate the utility of high-diversity mouse models for elucidating genetic associations, we describe the phenotyping and heritability of fat distributions within the five classical inbred and three wild-derived founder mouse strains of the Collaborative Cross and Diversity Outbred mice. Measurements of subcutaneous and internal fat volumes in the abdomen, thorax and neck, and fat volumes in the tongue and pericardium were obtained using magnetic resonance imaging in male mice from the A/J (n = 12), C57BL/6J (n = 17), 129S1/SvlmJ (n = 12), NOD/LtJ (n = 14), NZO/HILtJ (n = 12), CAST/EiJ (n = 14), PWK/PhJ (n = 12), and WSB/EiJ (n = 15) strains. Phenotypes were compared across strains using analysis of variance and heritability estimated as the proportion of phenotypic variability attributable to strain. Heritability ranged from 44 to 91% across traits, including >70% heritability of tongue fat. A majority of heritability estimates remained significant controlling for body weight, suggesting genetic influences independent of general obesity. Principal components analysis supports genetic influences on overall obesity and specific to increased pericardial and intra-neck fat. Thus, among the founder strains of the Collaborative Cross and Diversity Outbred mice, we observed significant heritability of subcutaneous and internal fat volumes in the neck, thorax and abdomen, pericardial fat volume and tongue fat volume, consistent with genetic architecture playing an important role in explaining trait variability. Findings pave the way for studies utilizing high-diversity mouse models to identify genes affecting fat distributions and, in turn, influencing risk for associated complex disorders.
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Affiliation(s)
- Brendan T Keenan
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jeanette C Webster
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Andrew S Wiemken
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nir Lavi-Romer
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Teresa Nguyen
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Raymond J Galante
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Stephen Pickup
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Allan I Pack
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Richard J Schwab
- Division of Sleep Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Dashti HS, Ordovás JM. Genetics of Sleep and Insights into Its Relationship with Obesity. Annu Rev Nutr 2021; 41:223-252. [PMID: 34102077 DOI: 10.1146/annurev-nutr-082018-124258] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Considerable recent advancements in elucidating the genetic architecture of sleep traits and sleep disorders may provide insight into the relationship between sleep and obesity. Despite the considerable involvement of the circadian clock in sleep and metabolism, few shared genes, including FTO, were implicated in genome-wide association studies (GWASs) of sleep and obesity. Polygenic scores composed of signals from GWASs of sleep traits show largely null associations with obesity, suggesting lead variants are unique to sleep. Modest genome-wide genetic correlations are observed between many sleep traits and obesity and are largest for snoring.Notably, U-shaped positive genetic correlations with body mass index (BMI) exist for both short and long sleep durations. Findings from Mendelian randomization suggest robust causal effects of insomnia on higher BMI and, conversely, of higher BMI on snoring and daytime sleepiness. Bidirectional effects between sleep duration and daytime napping with obesity may also exist. Limited gene-sleep interaction studies suggest that achieving favorable sleep, as part of a healthy lifestyle, may attenuate genetic predisposition to obesity, but whether these improvements produce clinically meaningful reductions in obesity risk remains unclear. Investigations of the genetic link between sleep and obesity for sleep disorders other than insomnia and in populations of non-European ancestry are currently limited. Expected final online publication date for the Annual Review of Nutrition, Volume 41 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Hassan S Dashti
- Center for Genomic Medicine and Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA; .,Broad Institute, Cambridge, Massachusetts 02142, USA
| | - José M Ordovás
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts 02111, USA.,Precision Nutrition and Obesity Program, IMDEA Alimentación, 28049 Madrid, Spain
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The Clinical Role of Angiopoietin-Like Protein 3 in Evaluating Coronary Artery Disease in Patients with Obstructive Sleep Apnea. Cardiovasc Drugs Ther 2021; 34:773-780. [PMID: 32440963 PMCID: PMC7674361 DOI: 10.1007/s10557-020-06991-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Purpose Hyperlipidemia is the most important early atherosclerosis and coronary artery disease (CAD) indicator. Angiopoietin-like proteins (ANGPTLs) 3, 4, and 8 are lipid dysfunction markers that may be linked to CAD. We investigated whether these circulating ANGPTLs are associated with CAD in patients with obstructive sleep apnea (OSA). Methods A total of 327 individuals participated in this study: 221 patients with OSA and CAD, 50 patients with OSA alone, and 56 controls. The Gensini Score was used to assess the severity of CAD. Serum ANGPTL3, ANGPTL4, and ANGPTL8 were measured in all subjects using Human Magnetic Luminex Screening Assay. The independent association between levels of ANGPTLs and CAD was evaluated by multivariate regression analysis. Results Serum ANGPTL3 levels were significantly higher in patients suffering from OSA and CAD compared with patients having OSA alone (46.97 ± 13.89 vs 38.25 ± 15.94 ng/ml, P < 0.001). Univariate analysis demonstrated that ANGPTL3 was a risk factor for CAD (OR = 1.72/10 ng ANGPTL3, 95% CI, 1.29–2.28, P < 0.001). In addition, multivariate analysis revealed that ANGPTL3 was independently associated with the presence of CAD (OR = 1.74/10 ng ANGPTL3, 95% CI, 1.29–2.35, P < 0.001) even after adjusting for cofounding factors. Furthermore, circulating ANGPTL3 levels were positively associated with triglyceride (r = 0.16, P = 0.01) and total cholesterol (r = 0.14, P = 0.02) levels, while ANGPTL3 levels had no significant correlation with the severity of CAD. No significant associations were found between the levels of ANGPTL4 and ANGPTL8 and CAD even after adjusting for established risk factors. Conclusion Elevated levels of ANGPTL3 were independently associated with a higher likelihood of CAD in patients with OSA. It may be a novel biomarker for OSA patients at high risk of developing cardiovascular diseases.
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41
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Wang H, Goodman MO, Sofer T, Redline S. Cutting the fat: advances and challenges in sleep apnoea genetics. Eur Respir J 2021; 57:57/5/2004644. [PMID: 33958377 DOI: 10.1183/13993003.04644-2020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 02/10/2021] [Indexed: 01/25/2023]
Affiliation(s)
- Heming Wang
- Division of Sleep and Circadian Disorders, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Matthew O Goodman
- Division of Sleep and Circadian Disorders, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Dept of Medicine, Brigham and Women's Hospital, Boston, MA, USA
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Strausz S, Ruotsalainen S, Ollila HM, Karjalainen J, Kiiskinen T, Reeve M, Kurki M, Mars N, Havulinna AS, Luonsi E, Mansour Aly D, Ahlqvist E, Teder-Laving M, Palta P, Groop L, Mägi R, Mäkitie A, Salomaa V, Bachour A, Tuomi T, Palotie A, Palotie T, Ripatti S. Genetic analysis of obstructive sleep apnoea discovers a strong association with cardiometabolic health. Eur Respir J 2021; 57:13993003.03091-2020. [PMID: 33243845 DOI: 10.1183/13993003.03091-2020] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 11/04/2020] [Indexed: 12/20/2022]
Abstract
There is currently limited understanding of the genetic aetiology of obstructive sleep apnoea (OSA). We aimed to identify genetic loci associated with OSA risk, and to test if OSA and its comorbidities share a common genetic background.We conducted the first large-scale genome-wide association study of OSA using the FinnGen study (217 955 individuals) with 16 761 OSA patients identified using nationwide health registries.We estimated 0.08 (95% CI 0.06-0.11) heritability and identified five loci associated with OSA (p<5.0×10-8): rs4837016 near GAPVD1 (GTPase activating protein and VPS9 domains 1), rs10928560 near CXCR4 (C-X-C motif chemokine receptor type 4), rs185932673 near CAMK1D (calcium/calmodulin-dependent protein kinase ID) and rs9937053 near FTO (fat mass and obesity-associated protein; a variant previously associated with body mass index (BMI)). In a BMI-adjusted analysis, an association was observed for rs10507084 near RMST/NEDD1 (rhabdomyosarcoma 2 associated transcript/NEDD1 γ-tubulin ring complex targeting factor). We found high genetic correlations between OSA and BMI (rg=0.72 (95% CI 0.62-0.83)), and with comorbidities including hypertension, type 2 diabetes, coronary heart disease, stroke, depression, hypothyroidism, asthma and inflammatory rheumatic disease (rg>0.30). The polygenic risk score for BMI showed 1.98-fold increased OSA risk between the highest and the lowest quintile, and Mendelian randomisation supported a causal relationship between BMI and OSA.Our findings support the causal link between obesity and OSA, and the joint genetic basis between OSA and comorbidities.
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Affiliation(s)
- Satu Strausz
- Dept of Oral and Maxillofacial Diseases, Helsinki University Hospital, Helsinki, Finland.,Orthodontics, Dept of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sanni Ruotsalainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Hanna M Ollila
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Dept of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Juha Karjalainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Depts of Medicine, Neurology and Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Mary Reeve
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Mitja Kurki
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Depts of Medicine, Neurology and Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Nina Mars
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Aki S Havulinna
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Elina Luonsi
- Orthodontics, Dept of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Dina Mansour Aly
- Lund University Diabetes Centre, Dept of Clinical Sciences, Lund University, Malmö, Sweden.,Skåne University Hospital, Lund University, Malmö, Sweden
| | - Emma Ahlqvist
- Lund University Diabetes Centre, Dept of Clinical Sciences, Lund University, Malmö, Sweden.,Skåne University Hospital, Lund University, Malmö, Sweden
| | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Priit Palta
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Leif Groop
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Lund University Diabetes Centre, Dept of Clinical Sciences, Lund University, Malmö, Sweden.,Skåne University Hospital, Lund University, Malmö, Sweden
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Antti Mäkitie
- Dept of Otorhinolaryngology - Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Veikko Salomaa
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Adel Bachour
- Sleep Unit, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Lund University Diabetes Centre, Dept of Clinical Sciences, Lund University, Malmö, Sweden.,Skåne University Hospital, Lund University, Malmö, Sweden.,Endocrinology, Abdominal Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Research Program for Clinical and Molecular Medicine, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | | | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Analytic and Translational Genetics Unit, Depts of Medicine, Neurology and Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Tuula Palotie
- Dept of Oral and Maxillofacial Diseases, Helsinki University Hospital, Helsinki, Finland.,Orthodontics, Dept of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Dept of Public Health, University of Helsinki, Helsinki, Finland
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Glial Cell- Derived Neurotrophic Factor Functions as a Potential Candidate Gene in Obstructive Sleep Apnea Based on a Combination of Bioinformatics and Targeted Capture Sequencing Analyses. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6656943. [PMID: 33688499 PMCID: PMC7911711 DOI: 10.1155/2021/6656943] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 01/27/2021] [Accepted: 02/10/2021] [Indexed: 02/07/2023]
Abstract
Background Obstructive sleep apnea (OSA) is a prevalent chronic disease that increases the risk of cardiovascular disease and metabolic and neuropsychiatric disorders, resulting in a considerable socioeconomic burden. The present study was aimed at identifying potential key genes influencing the mechanisms and consequences of OSA. Methods Gene expression profiles associated with OSA were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in subcutaneous adipose tissues from patients with OSA and normal tissues were screened using R software, followed by gene ontology and pathway enrichment analyses. Subsequently, a protein-protein interaction (PPI) network was constructed and hub genes were extracted using Cytoscape plugins. The intersected core genes derived from different topological algorithms were considered hub genes, and the potential candidate gene was selected from them for further analyses of expression variations using another GEO dataset and targeted capture sequencing in 100 subjects (50 with severe OSA and 50 without OSA). Results A total of 373 DEGs were identified in OSA samples relative to normal controls, which were primarily associated with olfactory transduction and neuroactive ligand-receptor interaction. Upon analyses of nine topological algorithms and available literature, we finally focused on glial cell-derived neurotrophic factor (GDNF) as the candidate gene and validated its low expression in OSA samples. Two rare nonsynonymous variants (p.D56N and p.R93Q) were identified among the 100 cases through targeted sequencing of GDNF, which could be potentially deleterious based on pathogenicity prediction programs; however, no significant association was detected in single nucleotide polymorphisms. Conclusion The present study identified GDNF as a promising candidate gene for OSA and its two rare and potentially deleterious mutations through a combination of bioinformatics and targeted capture sequencing analyses.
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Huang T, Goodman M, Li X, Sands SA, Li J, Stampfer MJ, Saxena R, Tworoger SS, Redline S. C-reactive Protein and Risk of OSA in Four US Cohorts. Chest 2021; 159:2439-2448. [PMID: 33529772 DOI: 10.1016/j.chest.2021.01.060] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 12/11/2020] [Accepted: 01/16/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Individuals with OSA have elevated levels of inflammatory markers, but no prospective study has examined the role of inflammation in the development of OSA. RESEARCH QUESTION Is C-reactive protein (CRP) prospectively associated with risk of developing OSA? STUDY DESIGN AND METHODS We followed 1,882 women from the Nurses' Health Study (NHS) (2002-2012), 3,854 women from Nurses' Health Study II (NHSII) (1995-2013), 3,075 men from the Health Professionals Follow-up Study (HPFS) (1996-2012), and 1,919 women and men from the Multi-Ethnic Study of Atherosclerosis (MESA) (2000-2012) who did not have diagnosed OSA at baseline and for whom CRP levels were available. In NHS/NHSII/HPFS, physician-diagnosed OSA was self-reported. In MESA, at-home polysomnography was performed and OSA was identified as an apnea-hypopnea index ≥ 30. Logistic regression was used to estimate the OR for OSA risk according to baseline CRP level, adjusted for multiple inflammation-related factors. RESULTS After multivariable adjustment not including BMI, the pooled OR for OSA risk per doubling of baseline CRP level was 1.24 (95% CI, 1.18-1.30). Additional adjustment for BMI substantially attenuated the association (pooled OR, 1.07; 95% CI, 1.01-1.12). The fully adjusted association was consistently stronger in individuals < 55 vs ≥ 55 years of age (P interaction = .01), in individuals with BMI < 25 vs ≥ 25 kg/m2 (P interaction = .02), and in pre- vs postmenopausal women (P interaction = .002). CRP was more strongly associated with risk of OSA associated with excessive daytime sleepiness, high airway collapsibility, and low arousal threshold (P heterogeneity < .05). INTERPRETATION Higher CRP was prospectively associated with increased OSA risk, particularly among younger individuals, underweight/normal-weight individuals, or premenopausal women. The differential associations by OSA phenotype/endotype suggest possible mechanisms through which inflammation operates to modulate OSA risk. Given our reliance on a single CRP level measured a decade before OSA assessment, future studies with repeated CRP measurements are warranted to confirm these prospective associations.
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Affiliation(s)
- Tianyi Huang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Division of Sleep Medicine, Harvard Medical School, Boston, MA.
| | - Matthew Goodman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Xiaoyu Li
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Scott A Sands
- Division of Sleep Medicine, Harvard Medical School, Boston, MA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Meir J Stampfer
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Shelley S Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Susan Redline
- Division of Sleep Medicine, Harvard Medical School, Boston, MA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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Mohit, Shrivastava A, Chand P. Molecular determinants of obstructive sleep apnea. Sleep Med 2021; 80:105-112. [PMID: 33592435 DOI: 10.1016/j.sleep.2021.01.032] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 12/19/2020] [Accepted: 01/24/2021] [Indexed: 12/13/2022]
Abstract
Obstructive sleep apnea (OSA) is characterized as recurrent episodes of obstruction in the upper airway during the period of sleep. The condition occurs in approximately 11% and 4% of middle-aged men and middle-aged women, respectively. Polysomnography is a diagnostic procedure that involves the constant observation of oxygen saturation and unsaturation during sleep. Usually, positive airway pressure is considered a benchmark treatment for OSA. This review summarizes the recent developments and emerging evidence from molecular biology-based research studies that show that genetic factors have an influence on OSA. The genetic aspects of OSA that have been identified include heritability and other phenotypic co-factors such as anatomical morphology. It also draws attention to the results of a polymorphic-based study that was conducted to determine the causative single nucleotide mutations associated with obesity and adverse cardiovascular risk in OSA. However, the role of such mutations and their linkage to OSA can not yet be established. Nonetheless, a large body of evidence supports a strong association between inflammatory cytokine polymorphism and obesity in the development of OSA. There are also probable intermediate factors with several gene-gene interactions. Therefore, advanced applications and modern techniques should be applied to facilitate new findings and to minimize the risk of developing OSA.
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Affiliation(s)
- Mohit
- Department of Prosthodontics, King George's Medical University, Lucknow, Uttar Pradesh, 226003, India
| | - Ashutosh Shrivastava
- Center for Advance Research, Faculty of Medicine, King George's Medical University, Lucknow, Uttar Pradesh, 226003, India
| | - Pooran Chand
- Department of Prosthodontics, King George's Medical University, Lucknow, Uttar Pradesh, 226003, India.
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Pinilla L, Barbé F, de Gonzalo-Calvo D. MicroRNAs to guide medical decision-making in obstructive sleep apnea: A review. Sleep Med Rev 2021; 59:101458. [PMID: 33582532 DOI: 10.1016/j.smrv.2021.101458] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 01/12/2021] [Accepted: 01/14/2021] [Indexed: 12/15/2022]
Abstract
Obstructive sleep apnea (OSA) is a common and frequently underdiagnosed sleep disorder tightly associated with a wide range of morbidities and an elevated risk of the main causes of mortality. This condition represents a major public health concern due to its increasing worldwide prevalence and its serious pathological consequences. Current clinical guidelines support the importance of effective diagnosis and treatment of OSA and emphasize the unmet need for biomarkers to guide medical decision-making. In recent years, the noncoding transcriptome has emerged as a new opportunity for biomarker discovery. In this review, we provide a brief overview of the current understanding of noncoding RNAs, specifically microRNAs (miRNAs). Then, we carefully address the potential role of miRNAs as novel indicators for the management of both pediatric and adult OSA, highlighting their translational applicability, particularly for diagnosis and therapy allocation. Finally, we identify the gaps in the research state-of-art, discuss current methodological and conceptual limitations and propose future key steps and perspectives for the incorporation of miRNAs into routine clinical practice.
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Affiliation(s)
- Lucía Pinilla
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain; CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain
| | - Ferran Barbé
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain; CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain
| | - David de Gonzalo-Calvo
- Translational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain; CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
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Tan SN, Abdullah B. Phenotypes of Obstructive Sleep Apnea and Direct Targeted Therapy: A Literature Review. CURRENT RESPIRATORY MEDICINE REVIEWS 2021. [DOI: 10.2174/1573398x16999201016095352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Obstructive sleep apnea (OSA) is a heterogenous chronic disorder causing hypoxemia,
excessive daytime sleepiness, non-refreshing sleep, nocturia, morning headache, irritability, and
memory loss. Cardiovascular disease, cognitive impairment, metabolic disorders, and depression
are its long-term consequences. The difficulty in treating patients is due to poor compliance, failure
to obtain the desired outcome, and complication arising from the multimodality treatment. Direct
targeted therapy may overcome these issues. Identification of its phenotypes improves understanding
of the disease mechanism, the risk for adverse effects, and predicting response to targeted therapy.
Phenotyping of OSA allows treating patients according to their inherent disease and not based
on a “one size fits all” method, which may not be applicable for all patients. This approach may improve
patients’ compliance with treatment, minimize the associated morbidities, and consequently
improve their quality of life.
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Affiliation(s)
- Shi Nee Tan
- Department of Otorhinolaryngology Head & Neck Surgery, Hospital Tawau, Sabah, Malaysia
| | - Baharudin Abdullah
- Department of Otorhinolaryngology-Head & Neck Surgery, School of Medical Sciences, Universiti Sains Malaysia Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
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Elgart M, Redline S, Sofer T. Machine and Deep Learning in Molecular and Genetic Aspects of Sleep Research. Neurotherapeutics 2021; 18:228-243. [PMID: 33829409 PMCID: PMC8116376 DOI: 10.1007/s13311-021-01014-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2021] [Indexed: 12/11/2022] Open
Abstract
Epidemiological sleep research strives to identify the interactions and causal mechanisms by which sleep affects human health, and to design intervention strategies for improving sleep throughout the lifespan. These goals can be advanced by further focusing on the environmental and genetic etiology of sleep disorders, and by development of risk stratification algorithms, to identify people who are at risk or are affected by, sleep disorders. These studies rely on comprehensive sleep-related data which often contains complex multi-dimensional physiological and molecular measurements across multiple timepoints. Thus, sleep research is well-suited for the application of computational approaches that can handle high-dimensional data. Here, we survey recent advances in machine and deep learning together with the availability of large human cohort studies with sleep data that can jointly drive the next breakthroughs in the sleep-research field. We describe sleep-related data types and datasets, and present some of the tasks in the field that can be targets for algorithmic approaches, as well as the challenges and opportunities in pursuing them.
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Affiliation(s)
- Michael Elgart
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA USA
- Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA USA
- Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA USA
- Department of Medicine, Harvard Medical School, Boston, MA USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
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Utilization of surgical treatment for sleep apnea: A study of health disparities. Am J Otolaryngol 2020; 41:102670. [PMID: 32877799 DOI: 10.1016/j.amjoto.2020.102670] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 08/08/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Barriers to surgical treatment for sleep apnea remain understudied. In this study, we sought to evaluate whether specific demographic and socioeconomic characteristics are associated with whether or not patients receive surgery for sleep apnea management. METHODS The National Inpatient Sample (NIS) database was analyzed for 2007-2014. Patients aged 18 or older with primary or secondary diagnoses of sleep apnea were selected. Patients were sub-categorized by whether they received related soft-tissue removal or skeletal modifying procedures. Age, race, gender, region, insurance, comorbidities, procedure type, and procedure setting were analyzed between surgical and nonsurgical groups. RESULTS A total of 449,705 patients with a primary or secondary diagnosis of sleep apnea were identified, with 27,841 (5.8%) receiving surgical intervention. Compared with the non-surgical group, patients in the surgical cohort were more likely to be younger, male (74.4% vs. 59.0%), Hispanic (10.2% vs. 6.2%), Asian (3.6% vs. 1.0%) (p < 0.001), and have less clinical comorbidities. Those receiving surgery were more likely to be in the highest income bracket (36.1% versus 25.1%) and utilize private insurance (76.3% vs. 50.8%). Soft-tissue surgeries comprised 88.5% of total procedures while skeletal modifying procedures constituted 11.5% (p < 0.001). CONCLUSIONS This study identified multiple demographic, socioeconomic, and clinical discrepancies in the utilization of surgical versus nonsurgical management of sleep apnea in the United States. Future studies should examine the causes for these health disparities in the ultimate effort to provide more equitable healthcare in the United States.
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50
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Au CT, Chan KCC, Zhang J, Liu KH, Chu WCW, Wing YK, Li AM. Intermediate phenotypes of childhood obstructive sleep apnea. J Sleep Res 2020; 30:e13191. [PMID: 32926500 DOI: 10.1111/jsr.13191] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 08/17/2020] [Accepted: 08/19/2020] [Indexed: 12/01/2022]
Abstract
An intermediate phenotype of a disease is a trait in the path of pathogenesis from genetic predisposition to disease manifestation. Identifying intermediate phenotypes with high heritability is helpful in delineating the genetics of a disorder. In this study, we aimed to examine various traits with regards to obesity, cardiovascular risk and upper airway structure to identify potential intermediate phenotypes of childhood obstructive sleep apnea (OSA). Children aged between 6 and 18 years and their parents and siblings were recruited. All subjects underwent anthropometric measurements, cardiovascular risk assessment, sonographic measurement of lateral parapharyngeal wall (LPW) thickness, X-ray cephalometry and overnight polysomnography. A total of 34 phenotypes were examined. One hundred and one families consisting of 127 children (46 overweight) and 198 adults (84 overweight) were recruited. Heritability of obstructive apnea-hypopnea index (OAHI) was significant in overweight (h2 = 0.54) but not normal-weight individuals (h2 = 0.12). LPW thickness (h2 = 0.68) and resting blood pressure (h2 = 0.36 and 0.43 for systolic blood pressure [SBP] and diastolic blood pressure [DBP], respectively) were significantly heritable and associated with OAHI. Moreover, these traits were found to have shared genetic variance with OAHI in the overweight subgroup. Hyoid bone position also had significant heritability (h2 = 0.55) and association with OAHI but genetic correlation with OSA severity was not demonstrated. These findings suggest that LPW thickness and resting blood pressure are possible intermediate phenotypes of OSA independent of body mass index, especially in overweight patients. Identifying genes relevant to these phenotypes may help to elucidate the genetic susceptibility of OSA.
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Affiliation(s)
- Chun Ting Au
- Department of Paediatrics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Kate Ching-Ching Chan
- Department of Paediatrics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Jihui Zhang
- Sleep Assessment Unit, Department of Psychiatry, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Kin Hung Liu
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Winnie Chiu Wing Chu
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Yun Kwok Wing
- Sleep Assessment Unit, Department of Psychiatry, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Albert Martin Li
- Department of Paediatrics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
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