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Gong N, Tuo Y, Liu P. Identification and Mendelian randomization validation of pathogenic gene biomarkers in obstructive sleep apnea. Front Neurol 2024; 15:1442835. [PMID: 39220737 PMCID: PMC11363542 DOI: 10.3389/fneur.2024.1442835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 08/06/2024] [Indexed: 09/04/2024] Open
Abstract
Background By 2020, obstructive sleep apnea (OSA), a prevalent respiratory disorder, had affected 26.6-43.2% of males and 8.7-27.8% of females worldwide. OSA is associated with conditions such as hypertension, diabetes, and tumor progression; however, the precise underlying pathways remain elusive. This study aims to identify genetic markers and molecular mechanisms of OSA to improve understanding and treatment strategies. Methods The GSE135917 dataset related to OSA was obtained from the GEO database. Differentially expressed genes (DEGs) were subsequently identified. Weighted gene co-expression network analysis (WGCNA) was conducted to pinpoint disease-associated genes. The intersection of these data enabled the identification of potential diagnostic DEGs. Further analyses included Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment studies, exploration of protein-protein interactions based on these genes, and an examination of immune infiltration. Mendelian randomization was employed to validate core genes against the Genome-Wide Association Study database. Results A total of 194 DEGs were identified in this study. WGCNA network analysis highlighted 2,502 DEGs associated with OSA. By intersecting these datasets, 53 diagnostic DEGs primarily involved in metabolic pathways were identified. Significant alterations were observed in immune cell populations, including memory B cells, plasma cells, naive CD4 T cells, M0 macrophages, and activated dendritic cells. CETN3, EEF1E1, PMM2, GTF2A2, and RRM2 emerged as hub genes implicated in the pathogenesis. A line graph model provides diagnostic insights. Mendelian randomization analysis confirmed a causal link between CETN3 and GTF2A2 with OSA. Conclusion Through WGCNA, this analysis uncovered significant genetic foundations of OSA, identifying 2,502 DEGs and 194 genes associated with the disorder. Among these, CETN3 and GTF2A2 were found to have causal relationships with OSA.
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Affiliation(s)
- Nianjin Gong
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, China
| | - Yu Tuo
- Department of Oncology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, China
| | - Peijun Liu
- Department of Respiratory and Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, China
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Gallman K, Rastogi A, North O, O'Gorman M, Hutton P, Lloyd E, Warren W, Kowalko JE, Duboue ER, Rohner N, Keene AC. Postprandial sleep in short-sleeping Mexican cavefish. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.03.602003. [PMID: 39005273 PMCID: PMC11244998 DOI: 10.1101/2024.07.03.602003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Interaction between sleep and feeding behaviors are critical for adaptive fitness. Diverse species suppress sleep when food is scarce to increase the time spent foraging. Post-prandial sleep, an increase in sleep time following a feeding event, has been documented in vertebrate and invertebrate animals. While interactions between sleep and feeding appear to be highly conserved, the evolution of postprandial sleep in response to changes in food availability remains poorly understood. Multiple populations of the Mexican cavefish, Astyanax mexicanus, have independently evolved sleep loss and increased food consumption compared to surface-dwelling fish of the same species, providing the opportunity to investigate the evolution of interactions between sleep and feeding. Here, we investigate effects of feeding on sleep in larval and adult surface fish, and two parallelly evolved cave populations of A. mexicanus. Larval surface and cave populations of A. mexicanus increase sleep immediately following a meal, providing the first evidence of postprandial sleep in a fish model. The amount of sleep was not correlated to meal size and occurred independently of feeding time. In contrast to larvae, postprandial sleep was not detected in adult surface or cavefish, that can survive for months without food. Together, these findings reveal that postprandial sleep is present in multiple short-sleeping populations of cavefish, suggesting sleep-feeding interactions are retained despite the evolution of sleep loss. These findings raise the possibility that postprandial sleep is critical for energy conservation and survival in larvae that are highly sensitive to food deprivation.
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Affiliation(s)
- Kathryn Gallman
- Department of Biology, Texas A&M University, College Station, TX 77840
| | - Aakriti Rastogi
- Department of Biology, Texas A&M University, College Station, TX 77840
| | - Owen North
- Department of Biology, Texas A&M University, College Station, TX 77840
| | - Morgan O'Gorman
- Department of Biology, Texas A&M University, College Station, TX 77840
| | - Pierce Hutton
- Department of Biology, Texas A&M University, College Station, TX 77840
| | - Evan Lloyd
- Department of Biology, Texas A&M University, College Station, TX 77840
| | - Wes Warren
- Department of Genomics, University of Missouri, Columbia, MO 65201
| | - Johanna E Kowalko
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015
| | | | - Nicolas Rohner
- Stowers Institute for Medical Research, Kansas City, MO 64110
| | - Alex C Keene
- Department of Biology, Texas A&M University, College Station, TX 77840
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3
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Abdolsamadi M, Rasouli S, Alizadeh Severi A, Khirehgesh MR, Safari F, Mahdieh N, Khazaie H, Soleymani B, Akbari B. The Association Between the 5-Hydroxytryptamine Receptor 2A Gene Variants rs6311 and rs6313 and Obstructive Sleep Apnea in the Iranian Kurdish Population. Genet Test Mol Biomarkers 2024; 28:159-164. [PMID: 38657123 DOI: 10.1089/gtmb.2023.0272] [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: 04/26/2024] Open
Abstract
Introduction: Sleep is one of the most significant parts of everyone's life. Most people sleep for about one-third of their lives. Sleep disorders negatively impact the quality of life. Obstructive sleep apnea (OSA) is a severe sleep disorder that significantly impacts the patient's life and their family members. This study aimed to investigate the relationship between rs6313 and rs6311 polymorphisms in the serotonin receptor type 2A gene and OSA in the Kurdish population. Materials and Methods: The study's population comprises 100 OSA sufferers and 100 healthy people. Polysomnography diagnostic tests were done on both the patient and control groups. The polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) was used to investigate the relationship between OSA and LEPR gene polymorphisms. Results: Statistical analysis showed a significant relationship between genotype frequencies of patient and control groups of rs6311 with OSA in dominant [odds ratio (OR) = 5.203, p < 0.001) and codominant models (OR = 9.7, p < 0.001). Also, there was a significant relationship between genotype frequencies of patient and control groups of rs6313 with OSA in dominant (OR = 10.565, p < 0.001) and codominant models (OR = 5.938, p < 0.001). Conclusions: Findings from the study demonstrated that the two polymorphisms rs6311 and rs6313 could be effective at causing OSA; however, there was no correlation between the severity of the disease and either of the two polymorphisms.
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Affiliation(s)
- Mohammad Abdolsamadi
- Department of Medical Biotechnology, School of Medicine, Kermanshah University of Medical Science, Kermanshah, Iran
| | - Sharareh Rasouli
- Department of Medical Biotechnology, School of Medicine, Kermanshah University of Medical Science, Kermanshah, Iran
| | - Ali Alizadeh Severi
- Department of Medical Biotechnology, School of Medicine, Kermanshah University of Medical Science, Kermanshah, Iran
| | - Mohammad Reza Khirehgesh
- Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Fatemeh Safari
- Diagnostic Laboratory Sciences and Technology Research Center, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Nejat Mahdieh
- Cardiogenetic Research Laboratory, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Bijan Soleymani
- Medical Biology Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Bahman Akbari
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Chu Y, Aune D, Yu C, Wu Y, Ferrari G, Rezende LFM, Wang Y. Temporal trends in sleep pattern among Chinese adults between 2010 and 2018: findings from five consecutive nationally representative surveys. Public Health 2023; 225:360-368. [PMID: 37981452 DOI: 10.1016/j.puhe.2023.10.004] [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] [Received: 04/07/2023] [Revised: 10/01/2023] [Accepted: 10/03/2023] [Indexed: 11/21/2023]
Abstract
OBJECTIVES This study aimed to comprehensively analyze the time trends in average sleep duration and prevalence of short sleep, poor sleep quality, and high sleep debt among Chinese adults. STUDY DESIGN This was a cross-sectional study. METHODS The study used nationally representative data from Chinese Family Panel Survey (CFPS) among adults aged ≥18 years. Linear regression and logistic regression were used to calculate P-values for trends across waves, and absolute difference in prevalences were calculated by linear regression. Poisson regression analysis was used to calculate the prevalence ratios of sleep-related problems. RESULTS In 2018, the estimated average sleep duration in adults was 7.6 h/d. A shorter sleep duration, higher proportion of short sleep, and poor sleep quality were observed in people aged ≥65 years, women, people with primary school education or below, and residents in Liaoning province. The average sleep duration slightly decreased from 8.2 h/d in 2010 to 7.6 h/d in 2016, and then remained stable from 2016 to 2018. The prevalence of short sleep duration has markedly increased from 11.8% in 2010 to 24.1% in 2016, and then there was a decline in prevalence from 2016 to 2018, although this decrease was not significant. The prevalence of high sleep debt among employed people increased from 6.2% in 2010 to 8.6% in 2018 (absolute difference, 2.4 p.p; P trend = 0.063). In addition, the prevalence of poor sleep quality increased from 15.6% in 2012 to 21.3% in 2018 (absolute difference of 5.7 p.p; P trend<0.001). For all the sleep-related variables, the degree of changes varied by sociodemographic subgroups. CONCLUSIONS In this nationally representative survey of the Chinese population, the average sleep duration slightly decreased from 2010 to 2016, and then remained stable from 2016 to 2018. Poor sleep quality, and high sleep debt increased among most of the sociodemographic subgroups. Future studies are needed to understand the drivers of changes in sleep health among Chinese adults.
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Affiliation(s)
- Y Chu
- Global Health Division, Public Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China
| | - D Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Nutrition, Bjørknes University College, Oslo, Norway; Department of Research, The Cancer Registry of Norway, Oslo, Norway
| | - C Yu
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei, China.
| | - Y Wu
- Lab of Modern Environmental Toxicology, Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China; Department of Basic Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.
| | - G Ferrari
- Escuela de Ciencias de la Actividad Física, el Deporte y la Salud, Universidad de Santiago de Chile, USACH, Santiago, Chile
| | - L F M Rezende
- Department of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, Sao Paulo, Brazil; Faculty of Health Sciences, Universidad Autónoma de Chile, Providencia, 7500912, Chile
| | - Y Wang
- Global Health Division, Public Health Research Center and Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
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Gabryelska A, Turkiewicz S, Ditmer M, Gajewski A, Białasiewicz P, Strzelecki D, Chałubiński M, Sochal M. Evaluation of the Continuous Positive Airway Pressure Effect on Neurotrophins' Gene Expression and Protein Levels. Int J Mol Sci 2023; 24:16599. [PMID: 38068919 PMCID: PMC10706617 DOI: 10.3390/ijms242316599] [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] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/18/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
Neurotrophins (NT) might be associated with the pathophysiology of obstructive sleep apnea (OSA) due to concurrent intermittent hypoxia and sleep fragmentation. Such a relationship could have implications for the health and overall well-being of patients; however, the literature on this subject is sparse. This study investigated the alterations in the serum protein concentration and the mRNA expression of the brain-derived neurotrophic factor (BDNF), glial cell line-derived neurotrophic factor (GDNF), neurotrophin-3 (NTF3), and neurotrophin-4 (NTF4) proteins following a single night of continuous positive airway pressure (CPAP) therapy. This study group consisted of 30 patients with OSA. Venous blood was collected twice after a diagnostic polysomnography (PSG) and PSG with CPAP treatment. Gene expression was assessed with a quantitative real-time polymerase chain reaction. An enzyme-linked immunosorbent assay was used to determine the protein concentrations. After CPAP treatment, BDNF, proBDNF, GDNF, and NTF4 protein levels decreased (p = 0.002, p = 0.003, p = 0.047, and p = 0.009, respectively), while NTF3 increased (p = 0.001). Sleep latency was correlated with ΔPSG + CPAP/PSG gene expression for BDNF (R = 0.387, p = 0.038), NTF3 (R = 0.440, p = 0.019), and NTF4 (R = 0.424, p = 0.025). OSA severity parameters were not associated with protein levels or gene expressions. CPAP therapy could have an impact on the posttranscriptional stages of NT synthesis. The expression of different NTs appears to be connected with sleep architecture but not with OSA severity.
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Affiliation(s)
- Agata Gabryelska
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland
| | - Szymon Turkiewicz
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland
| | - Marta Ditmer
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland
| | - Adrian Gajewski
- Department of Immunology and Allergy, Medical University of Lodz, 90-419 Lodz, Poland
| | - Piotr Białasiewicz
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland
| | - Dominik Strzelecki
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 90-419 Lodz, Poland
| | - Maciej Chałubiński
- Department of Immunology and Allergy, Medical University of Lodz, 90-419 Lodz, Poland
| | - Marcin Sochal
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland
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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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Teplitzky TB, Zauher AJ, Isaiah A. Alternatives to Polysomnography for the Diagnosis of Pediatric Obstructive Sleep Apnea. Diagnostics (Basel) 2023; 13:diagnostics13111956. [PMID: 37296808 DOI: 10.3390/diagnostics13111956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/16/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
Diagnosis of obstructive sleep apnea (OSA) in children with sleep-disordered breathing (SDB) requires hospital-based, overnight level I polysomnography (PSG). Obtaining a level I PSG can be challenging for children and their caregivers due to the costs, barriers to access, and associated discomfort. Less burdensome methods that approximate pediatric PSG data are needed. The goal of this review is to evaluate and discuss alternatives for evaluating pediatric SDB. To date, wearable devices, single-channel recordings, and home-based PSG have not been validated as suitable replacements for PSG. However, they may play a role in risk stratification or as screening tools for pediatric OSA. Further studies are needed to determine if the combined use of these metrics could predict OSA.
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Affiliation(s)
- Taylor B Teplitzky
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Audrey J Zauher
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Amal Isaiah
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
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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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Giannoni A, Borrelli C, Gentile F, Sciarrone P, Spießhöfer J, Piepoli M, Richerson GB, Floras JS, Coats AJS, Javaheri S, Emdin M, Passino C. Autonomic and respiratory consequences of altered chemoreflex function: clinical and therapeutic implications in cardiovascular diseases. Eur J Heart Fail 2023; 25:642-656. [PMID: 36907827 PMCID: PMC10989193 DOI: 10.1002/ejhf.2819] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 02/10/2023] [Accepted: 02/26/2023] [Indexed: 03/14/2023] Open
Abstract
The importance of chemoreflex function for cardiovascular health is increasingly recognized in clinical practice. The physiological function of the chemoreflex is to constantly adjust ventilation and circulatory control to match respiratory gases to metabolism. This is achieved in a highly integrated fashion with the baroreflex and the ergoreflex. The functionality of chemoreceptors is altered in cardiovascular diseases, causing unstable ventilation and apnoeas and promoting sympathovagal imbalance, and it is associated with arrhythmias and fatal cardiorespiratory events. In the last few years, opportunities to desensitize hyperactive chemoreceptors have emerged as potential options for treatment of hypertension and heart failure. This review summarizes up to date evidence of chemoreflex physiology/pathophysiology, highlighting the clinical significance of chemoreflex dysfunction, and lists the latest proof of concept studies based on modulation of the chemoreflex as a novel target in cardiovascular diseases.
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Affiliation(s)
- Alberto Giannoni
- Health Science Interdisciplinary Center, Scuola Superiore Sant’Anna, Pisa, Italy
- Fondazione Toscana G. Monasterio, Pisa, Italy
| | | | - Francesco Gentile
- Health Science Interdisciplinary Center, Scuola Superiore Sant’Anna, Pisa, Italy
| | | | - Jens Spießhöfer
- Health Science Interdisciplinary Center, Scuola Superiore Sant’Anna, Pisa, Italy
- University of Aachen, Aachen, Germany
| | | | | | - John S Floras
- Division of Cardiology, Mount Sinai Hospital, University of Toronto, Ontario, Canada
| | | | - Shahrokh Javaheri
- Division of Pulmonary and Sleep Medicine, Bethesda North Hospital, Cincinnati, Ohio, Division of Pulmonary, Critical Care and Sleep Medicine, University of Cincinnati, Cincinnati, Ohio, and Division of Cardiology, The Ohio State University, Columbus, Ohio USA
| | - Michele Emdin
- Health Science Interdisciplinary Center, Scuola Superiore Sant’Anna, Pisa, Italy
- Fondazione Toscana G. Monasterio, Pisa, Italy
| | - Claudio Passino
- Health Science Interdisciplinary Center, Scuola Superiore Sant’Anna, Pisa, Italy
- Fondazione Toscana G. Monasterio, Pisa, Italy
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10
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Han CJ, Bergman M, Harley RJ, Harley EH. The pediatric indications for tonsillectomy and adenotonsillectomy: Race/ethnicity, age, and gender. Laryngoscope Investig Otolaryngol 2023; 8:577-583. [PMID: 37090873 PMCID: PMC10116961 DOI: 10.1002/lio2.1017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 01/21/2023] [Indexed: 02/08/2023] Open
Abstract
Objective To evaluate how pediatric indications for tonsillectomy or adenotonsillectomy relate to gender, race/ethnicity, and age. Methods Included consecutive pediatric patients who underwent tonsillectomy or adenotonsillectomy from a single tertiary academic institution between 2012 and 2019. Logistic regression analysis was used to measure association between the indication for tonsillectomy and the demographic variables gender, race/ethnicity, and age. Results Of the 1106 children included in this study, 53% were male and 47% were female. Half of the children were White, 40% were African American, 6% were Hispanic and 4% were other. The most common indication for surgery was upper airway obstruction alone (66%), followed by obstruction and infection (22%), and recurrent infections (12%). We found that male gender (OR 1.59, 95% CI 1.24-2.04), African American race (OR 2.76, 95% CI 2.08-3.65), and younger age were associated with greater odds of presenting with upper airway obstruction as the indication for tonsillectomy. Conversely, male gender (OR 0.63, 95% CI 0.44-0.92), African American race (OR 0.4, 95% CI 0.26-0.61), and younger age were associated with lower odds of presenting with recurrent infection as the indication for tonsillectomy. Conclusions Male gender, African American race, and young age are risk factors for tonsillar surgery due to airway obstruction. Female gender, White race, and older age are risk factors for tonsillar surgery due to recurrent throat infections. Level of Evidence 3.
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Affiliation(s)
- Chihun Jim Han
- Department of Otolaryngology: Head and Neck SurgeryThomas Jefferson University HospitalPhiladelphiaPennsylvaniaUSA
| | - Maxwell Bergman
- Department of Otolaryngology: Head and Neck SurgeryThe Ohio State University Medical CenterColumbusOhioUSA
| | - Randall J. Harley
- Department of Otolaryngology: Head and Neck SurgeryUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Earl H. Harley
- Department of Otolaryngology: Head and Neck SurgeryGeorgetown University HospitalWashingtonDistrict of ColumbiaUSA
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11
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Gabryelska A, Turkiewicz S, Ditmer M, Sochal M. Neurotrophins in the Neuropathophysiology, Course, and Complications of Obstructive Sleep Apnea-A Narrative Review. Int J Mol Sci 2023; 24:1808. [PMID: 36768132 PMCID: PMC9916304 DOI: 10.3390/ijms24031808] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/04/2022] [Accepted: 01/11/2023] [Indexed: 01/18/2023] Open
Abstract
Obstructive sleep apnea (OSA) is a disorder characterized by chronic intermittent hypoxia and sleep fragmentation due to recurring airway collapse during sleep. It is highly prevalent in modern societies, and due to its pleiotropic influence on the organism and numerous sequelae, it burdens patients and physicians. Neurotrophins (NTs), proteins that modulate the functioning and development of the central nervous system, such as brain-derived neurotrophic factor (BDNF), have been associated with OSA, primarily due to their probable involvement in offsetting the decline in cognitive functions which accompanies OSA. However, NTs influence multiple aspects of biological functioning, such as immunity. Thus, extensive evaluation of their role in OSA might enlighten the mechanism behind some of its elusive features, such as the increased risk of developing an immune-mediated disease or the association of OSA with cardiovascular diseases. In this review, we examine the interactions between NTs and OSA and discuss their contribution to OSA pathophysiology, complications, as well as comorbidities.
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Affiliation(s)
- Agata Gabryelska
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland
| | | | | | - Marcin Sochal
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, 90-419 Lodz, Poland
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12
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Sinkala M, Elsheikh SSM, Mbiyavanga M, Cullinan J, Mulder NJ. A genome-wide association study identifies distinct variants associated with pulmonary function among European and African ancestries from the UK Biobank. Commun Biol 2023; 6:49. [PMID: 36641522 PMCID: PMC9840173 DOI: 10.1038/s42003-023-04443-8] [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] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 01/09/2023] [Indexed: 01/16/2023] Open
Abstract
Pulmonary function is an indicator of well-being, and pulmonary pathologies are the third major cause of death worldwide. We analysed the UK Biobank genome-wide association summary statistics of pulmonary function for Europeans and individuals of recent African descent to identify variants associated with the trait in the two ancestries. Here, we show 627 variants in Europeans and 3 in Africans associated with three pulmonary function parameters. In addition to the 110 variants in Europeans previously reported to be associated with phenotypes related to pulmonary function, we identify 279 novel loci, including an ISX intergenic variant rs369476290 on chromosome 22 in Africans. Remarkably, we find no shared variants among Africans and Europeans. Furthermore, enrichment analyses of variants separately for each ancestry background reveal significant enrichment for terms related to pulmonary phenotypes in Europeans but not Africans. Further analysis of studies of pulmonary phenotypes reveals that individuals of European background are disproportionally overrepresented in datasets compared to Africans, with the gap widening over the past five years. Our findings extend our understanding of the different variants that modify the pulmonary function in Africans and Europeans, a promising finding for future GWASs and medical studies.
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Affiliation(s)
- Musalula Sinkala
- Computational Biology Division, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Cape Town, South Africa.
| | - Samar S M Elsheikh
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Mamana Mbiyavanga
- Computational Biology Division, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Cape Town, South Africa
| | - Joshua Cullinan
- Computational Biology Division, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Cape Town, South Africa
| | - Nicola J Mulder
- Computational Biology Division, Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Cape Town, South Africa
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13
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Chun S, Akle S, Teodosiadis A, Cade BE, Wang H, Sofer T, Evans DS, Stone KL, Gharib SA, Mukherjee S, Palmer LJ, Hillman D, Rotter JI, Hanis CL, Stamatoyannopoulos JA, Redline S, Cotsapas C, Sunyaev SR. Leveraging pleiotropy to discover and interpret GWAS results for sleep-associated traits. PLoS Genet 2022; 18:e1010557. [PMID: 36574455 PMCID: PMC9829185 DOI: 10.1371/journal.pgen.1010557] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/09/2023] [Accepted: 12/06/2022] [Indexed: 12/28/2022] Open
Abstract
Genetic association studies of many heritable traits resulting from physiological testing often have modest sample sizes due to the cost and burden of the required phenotyping. This reduces statistical power and limits discovery of multiple genetic associations. We present a strategy to leverage pleiotropy between traits to both discover new loci and to provide mechanistic hypotheses of the underlying pathophysiology. Specifically, we combine a colocalization test with a locus-level test of pleiotropy. In simulations, we show that this approach is highly selective for identifying true pleiotropy driven by the same causative variant, thereby improves the chance to replicate the associations in underpowered validation cohorts and leads to higher interpretability. Here, as an exemplar, we use Obstructive Sleep Apnea (OSA), a common disorder diagnosed using overnight multi-channel physiological testing. We leverage pleiotropy with relevant cellular and cardio-metabolic phenotypes and gene expression traits to map new risk loci in an underpowered OSA GWAS. We identify several pleiotropic loci harboring suggestive associations to OSA and genome-wide significant associations to other traits, and show that their OSA association replicates in independent cohorts of diverse ancestries. By investigating pleiotropic loci, our strategy allows proposing new hypotheses about OSA pathobiology across many physiological layers. For example, we identify and replicate the pleiotropy across the plateletcrit, OSA and an eQTL of DNA primase subunit 1 (PRIM1) in immune cells. We find suggestive links between OSA, a measure of lung function (FEV1/FVC), and an eQTL of matrix metallopeptidase 15 (MMP15) in lung tissue. We also link a previously known genome-wide significant peak for OSA in the hexokinase 1 (HK1) locus to hematocrit and other red blood cell related traits. Thus, the analysis of pleiotropic associations has the potential to assemble diverse phenotypes into a chain of mechanistic hypotheses that provide insight into the pathogenesis of complex human diseases.
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Affiliation(s)
- Sung Chun
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Division of Pulmonary Medicine, Boston Children’s Hospital, Boston, Massachusetts, United States of America
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Sebastian Akle
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | | | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California, United States of America
| | - Sina A. Gharib
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington, United States of America
- Computational Medicine Core at Center for Lung Biology, University of Washington, Seattle, Washington, United States of America
| | - Sutapa Mukherjee
- Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia, Australia
- Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - David Hillman
- Centre for Sleep Science, University of Western Australia, Perth, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Australia
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, United States of America
| | - Craig L. Hanis
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - John A. Stamatoyannopoulos
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Departments of Medicine and Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Chris Cotsapas
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, United States of America
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Shamil R. Sunyaev
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Altius Institute for Biomedical Sciences, Seattle, Washington, United States of America
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America
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14
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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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15
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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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16
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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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Lazea C, Sur L, Florea M. ROHHAD (Rapid-onset Obesity with Hypoventilation, Hypothalamic Dysfunction, Autonomic Dysregulation) Syndrome-What Every Pediatrician Should Know About the Etiopathogenesis, Diagnosis and Treatment: A Review. Int J Gen Med 2021; 14:319-326. [PMID: 33542648 PMCID: PMC7853626 DOI: 10.2147/ijgm.s293377] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 12/31/2020] [Indexed: 12/14/2022] Open
Abstract
Rapid-onset obesity with hypoventilation, hypothalamic dysfunction, autonomic dysregulation (ROHHAD) syndrome is a rare disease with unknown and debated etiology, characterized by precipitous obesity in young children, hypoventilation and autonomic dysregulation with various endocrine abnormalities. Neuroendocrine tumors can be associated in more than half of the cases. This rare condition has a severe outcome because of high morbidity and mortality. We provide a comprehensive description of the etiopathogenetic theories of the disease, clinical presentation, diagnostic workup and treatment possibilities.
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Affiliation(s)
- Cecilia Lazea
- Department Pediatrics I, Emergency Pediatric Hospital, University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania
| | - Lucia Sur
- Department Pediatrics I, Emergency Pediatric Hospital, University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania
| | - Mira Florea
- Community Medicine Department, University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania
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18
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Cao Y, Cai X, Zhu Q, Li N. Screening and identification of potential biomarkers for obstructive sleep apnea via microarray analysis. Medicine (Baltimore) 2021; 100:e24435. [PMID: 33530245 PMCID: PMC7850694 DOI: 10.1097/md.0000000000024435] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 01/05/2021] [Indexed: 01/05/2023] Open
Abstract
Obstructive sleep apnea (OSA) is a common chronic disease and increases the risk of cardiovascular disease, metabolic and neuropsychiatric disorders, resulting in a considerable socioeconomic burden. This study aimed to identify potential key genes influence the mechanisms and consequences of OSA.Gene expression profiles related to OSA were obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in subcutaneous adipose tissues from OSA compared with normal tissues were screened using R software, followed by gene ontology (GO) and pathway enrichment analyses. Subsequently, a protein-protein interaction (PPI) network for these DEGs was constructed by STRING, and key hub genes were extracted from the network with plugins in Cytoscape. The hub genes were further validated in another GEO dataset and assessed by receiver operating characteristic (ROC) analysis and Pearson correlation analysis.There were 373 DEGs in OSA samples in relative to normal controls, which were mainly associated with olfactory receptor activity and olfactory transduction. Upon analyses of the PPI network, GDNF, SLC2A2, PRL, and SST were identified as key hub genes. Decreased expression of the hub genes was association with OSA occurrence, and exhibited good performance in distinguishing OSA from normal samples based on ROC analysis. Besides, the Pearson method revealed a strong correlation between hub genes, which indicates that they may act in synergy, contributing to OSA and related disorders.This bioinformatics research identified 4 hub genes, including GDNF, SLC2A2, PRL, and SST which may be new potential biomarkers for OSA and related disorders.
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Affiliation(s)
| | - Xintian Cai
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, China
| | - Qing Zhu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, China
| | - Nanfang Li
- Xinjiang Medical University
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang, China
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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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20
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Banerjee P, Donello JE, Hare B, Duman RS. Rapastinel, an NMDAR positive modulator, produces distinct behavioral, sleep, and EEG profiles compared with ketamine. Behav Brain Res 2020; 391:112706. [PMID: 32461133 DOI: 10.1016/j.bbr.2020.112706] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 05/13/2020] [Accepted: 05/13/2020] [Indexed: 12/27/2022]
Abstract
Rapastinel, a positive NMDAR modulator, produces rapid-acting and long-lasting antidepressant-like effects; however, unlike ketamine, the abuse potential for rapastinel is minimal. Ketamine has also been shown to induce psychotomimetic/dissociative side effects, aberrant gamma oscillations, and effects similar to sleep deprivation, which may potentially limit its clinical use. In this study, we compared the side effect profile and potential sleep-altering properties of rapastinel (3, 10, and 30 mg/kg) to ketamine (30 mg/kg) in rodents. In addition, we investigated corresponding changes in transcriptomics and proteomics. Rapastinel exhibited no effect on locomotor activity and prepulse inhibition in mice, while ketamine induced a significant increase in locomotor activity and a significant decrease in prepulse inhibition, which are indications of a psychosis-like state. The effects of rapastinel on sleep architecture were minimal, and rapastinel did not alter gamma frequency oscillations. In contrast, ketamine administration resulted in a greater latency to slow wave and REM sleep, disrupted duration of sleep, and affected duration of wakefulness during sleep. Further, ketamine increased cortical oscillations in the gamma frequency range, which is a property associated with psychosis. Rapastinel induced similar plasticity-related changes in transcriptomics to ketamine in rats but differed in several gene ontology classes, some of which may be involved in the regulation of sleep. In conclusion, rapastinel demonstrated a lower propensity than ketamine to induce CNS-related adverse side effects and sleep disturbances.
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Affiliation(s)
| | | | - Brendan Hare
- Yale University School of Medicine, New Haven, CT, USA
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21
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Wang H, Cade BE, Sofer T, Sands SA, Chen H, Browning SR, Stilp AM, Louie TL, Thornton TA, Johnson WC, Below JE, Conomos MP, Evans DS, Gharib SA, Guo X, Wood AC, Mei H, Yaffe K, Loredo JS, Ramos AR, Barrett-Connor E, Ancoli-Israel S, Zee PC, Arens R, Shah NA, Taylor KD, Tranah GJ, Stone KL, Hanis CL, Wilson JG, Gottlieb DJ, Patel SR, Rice K, Post WS, Rotter JI, Sunyaev SR, Cai J, Lin X, Purcell SM, Laurie CC, Saxena R, Redline S, Zhu X. Admixture mapping identifies novel loci for obstructive sleep apnea in Hispanic/Latino Americans. Hum Mol Genet 2019; 28:675-687. [PMID: 30403821 DOI: 10.1093/hmg/ddy387] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 11/05/2018] [Indexed: 01/11/2023] Open
Abstract
Obstructive sleep apnea (OSA) is a common disorder associated with increased risk of cardiovascular disease and mortality. Its prevalence and severity vary across ancestral background. Although OSA traits are heritable, few genetic associations have been identified. To identify genetic regions associated with OSA and improve statistical power, we applied admixture mapping on three primary OSA traits [the apnea hypopnea index (AHI), overnight average oxyhemoglobin saturation (SaO2) and percentage time SaO2 < 90%] and a secondary trait (respiratory event duration) in a Hispanic/Latino American population study of 11 575 individuals with significant variation in ancestral background. Linear mixed models were performed using previously inferred African, European and Amerindian local genetic ancestry markers. Global African ancestry was associated with a lower AHI, higher SaO2 and shorter event duration. Admixture mapping analysis of the primary OSA traits identified local African ancestry at the chromosomal region 2q37 as genome-wide significantly associated with AHI (P < 5.7 × 10-5), and European and Amerindian ancestries at 18q21 suggestively associated with both AHI and percentage time SaO2 < 90% (P < 10-3). Follow-up joint ancestry-SNP association analyses identified novel variants in ferrochelatase (FECH), significantly associated with AHI and percentage time SaO2 < 90% after adjusting for multiple tests (P < 8 × 10-6). These signals contributed to the admixture mapping associations and were replicated in independent cohorts. In this first admixture mapping study of OSA, novel associations with variants in the iron/heme metabolism pathway suggest a role for iron in influencing respiratory traits underlying OSA.
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Affiliation(s)
- Heming Wang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.,Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Scott A Sands
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Han Chen
- Human 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, USA.,Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Sharon R Browning
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Tin L Louie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Department of Medical Genetics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Neurology, University of California, San Francisco, San Francisco, CA, USA.,Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Jose S Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, CA, USA
| | - Alberto R Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Sonia Ancoli-Israel
- Departments of Medicine and Psychiatry, University of California, San Diego, CA, USA.,Department of Veterans Affairs, San Diego Center of Excellence for Stress and Mental Health, San Diego, CA, USA
| | - Phyllis C Zee
- Department of Neurology and Sleep Medicine Center, Northwestern University, Chicago, IL, USA
| | - Raanan Arens
- The Children's Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Neomi A Shah
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Craig L Hanis
- Human 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, USA
| | - James G Wilson
- Physiology and Biophysics, University of Mississippi, Jackson, MS, USA
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,VA Boston Healthcare System, Boston, MA, USA
| | - Sanjay R Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Wendy S Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Shamil R Sunyaev
- Broad Institute, Cambridge, MA 02142, USA.,Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.,Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shaun M Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA.,Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Broad Institute, Cambridge, MA 02142, USA.,Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
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22
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Kiley JP, Twery MJ, Gibbons GH. The National Center on Sleep Disorders Research-progress and promise. Sleep 2019; 42:5498425. [PMID: 31125417 DOI: 10.1093/sleep/zsz105] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- James P Kiley
- Division of Lung Diseases, National Heart Lung and Blood Institute, Bethesda, MD
| | - Michael J Twery
- Division of Lung Diseases, National Heart Lung and Blood Institute, Bethesda, MD
| | - Gary H Gibbons
- Division of Lung Diseases, National Heart Lung and Blood Institute, Bethesda, MD
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23
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Peppard PE, Hagen EW. The Last 25 Years of Obstructive Sleep Apnea Epidemiology-and the Next 25? Am J Respir Crit Care Med 2019; 197:310-312. [PMID: 29035088 DOI: 10.1164/rccm.201708-1614pp] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Affiliation(s)
- Paul E Peppard
- University of Wisconsin-Madison School of Medicine and Public Health, Department of Population Health Sciences, Madison, Wisconsin
| | - Erika W Hagen
- University of Wisconsin-Madison School of Medicine and Public Health, Department of Population Health Sciences, Madison, Wisconsin
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24
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Association of inflammatory genes in obstructive sleep apnea and non alcoholic fatty liver disease in Asian Indians residing in north India. PLoS One 2018; 13:e0199599. [PMID: 30001365 PMCID: PMC6042717 DOI: 10.1371/journal.pone.0199599] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 06/11/2018] [Indexed: 01/03/2023] Open
Abstract
Background Previous studies have indicated that variants of the high sensitive C-reactive protein (CRP), Interleukin (IL)-6 and leptin receptor (LEPR) genes are associated with the presence of obstructive sleep apnea (OSA) but not in non-alcoholic fatty liver disease (NAFLD) in Asian Indians. The study was conducted to investigate the association of CRP rs1130864 (1444C/T), IL-6 rs1800795 (-174G/C) and LEPR rs1137101 (Q223R) genes with OSA and NAFLD in Asian Indians residing in North India. Methods 240 overweight/ obese subjects [body mass index (BMI>23kg/m2)], 124 with OSA and with NAFLD (group 1), 47 with OSA without NAFLD (group 2), 44 without OSA and with NAFLD (group 3) and 25 without OSA and without NAFLD (group 4) were recruited in this study. The severity of NAFLD was based on abdomen liver ultrasound and of OSA on overnight polysomnography. Clinical details, anthropometry profile, body composition, biochemical parameters and inflammatory markers were measured. Polymerase chain reaction and restriction fragment length polymorphism of CRP, IL-6 and LEPR gene was performed. The associations of these polymorphisms with clinical, anthropometric and biochemical profiles were investigated. The genotypes were confirmed by DNA sequencing analysis. Results The C, T and R alleles of IL-6, CRP and LEPR genes was more frequent in OSA and NAFLD subjects and significantly correlated with higher protein levels. The prevalence of variant genotypes C/T of CRP, G/C of IL-6 and Q/R of LEPR genes was significantly higher in OSA subjects as compared to non OSA subjects. Further, C/C genotype of IL-6 (G/C), T/T of CRP (C/T) and RR genotype of LEPR (Q/R) was associated with significantly higher BMI, fat mass (kg), % body fat, waist circumference, serum triglycerides, total cholesterol, alkaline phosphate, aspartate transaminase and fasting insulin levels in OSA and NAFLD subjects. Using a multivariate analysis, the combined effect of three polymorphisms of CRP, IL-6 and LEPR gene variants on OSA and NAFLD risk was evaluated. Odds ratio for OSA and NAFLD with the combination of the three gene polymorphisms increased to 2.84 (95% CI: 1.08–6.54; p = 0.04) even when adjusted for sex, age and BMI. Conclusion Polymorphisms of pro-inflammatory cytokine genes were associated with increased risk of OSA and NAFLD in Asian Indians.
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25
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Garbarino S, Scoditti E, Lanteri P, Conte L, Magnavita N, Toraldo DM. Obstructive Sleep Apnea With or Without Excessive Daytime Sleepiness: Clinical and Experimental Data-Driven Phenotyping. Front Neurol 2018; 9:505. [PMID: 29997573 PMCID: PMC6030350 DOI: 10.3389/fneur.2018.00505] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 06/08/2018] [Indexed: 12/15/2022] Open
Abstract
Introduction: Obstructive sleep apnea (OSA) is a serious and prevalent medical condition with major consequences for health and safety. Excessive daytime sleepiness (EDS) is a common-but not universal-accompanying symptom. The purpose of this literature analysis is to understand whether the presence/absence of EDS is associated with different physiopathologic, prognostic, and therapeutic outcomes in OSA patients. Methods: Articles in English published in PubMed, Medline, and EMBASE between January 2000 and June 2017, focusing on no-EDS OSA patients, were critically reviewed. Results: A relevant percentage of OSA patients do not complain of EDS. EDS is a significant and independent predictor of incident cardiovascular disease (CVD) and is associated with all-cause mortality and an increased risk of metabolic syndrome and diabetes. Male gender, younger age, high body mass index, are predictors of EDS. The positive effects of nasal continuous positive airway pressure (CPAP) therapy on blood pressure, insulin resistance, fatal and non-fatal CVD, and endothelial dysfunction risk factors have been demonstrated in EDS-OSA patients, but results are inconsistent in no-EDS patients. The most sustainable cause of EDS is nocturnal hypoxemia and alterations of sleep architecture, including sleep fragmentation. These changes are less evident in no-EDS patients that seem less susceptible to the cortical effects of apneas. Conclusions: There is no consensus if we should consider OSA as a single disease with different phenotypes with or without EDS, or if there are different diseases with different genetic/epigenetic determinants, pathogenic mechanisms, prognosis, and treatment.The small number of studies focused on this issue indicates the need for further research in this area. Clinicians must carefully assess the presence or absence of EDS and decide accordingly the treatment. This approach could improve combination therapy targeted to a patient's specific pathology to enhance both efficacy and long-term adherence to OSA treatment and significantly reduce the social, economic, and health negative impact of OSA.
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Affiliation(s)
- Sergio Garbarino
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal/Child Sciences, University of Genoa, Genoa, Italy.,Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Egeria Scoditti
- Institute of Clinical Physiology, National Research Council (CNR), Lecce, Italy
| | - Paola Lanteri
- Department of Neurological Science, G. Gaslini Institute, Genoa, Italy
| | - Luana Conte
- Interdisciplinary Laboratory of Applied Research in Medicine (DReAM), "V Fazzi" University Hospital, ASL Lecce, Lecce, Italy.,Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy
| | - Nicola Magnavita
- Institute of Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Domenico M Toraldo
- Rehabilitation Department, Cardio-Respiratory Care Unit, "V Fazzi" Hospital, ASL Lecce, Lecce, Italy
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26
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27
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Prasad B, Saxena R, Goel N, Patel SR. Genetic Ancestry for Sleep Research: Leveraging Health Inequalities to Identify Causal Genetic Variants. Chest 2018; 153:1478-1496. [PMID: 29604255 DOI: 10.1016/j.chest.2018.03.024] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 03/02/2018] [Accepted: 03/19/2018] [Indexed: 02/08/2023] Open
Abstract
Recent evidence has highlighted the health inequalities in sleep behaviors and sleep disorders that adversely affect outcomes in select populations, including African-American and Hispanic-American subjects. Race-related sleep health inequalities are ascribed to differences in multilevel and interlinked health determinants, such as sociodemographic factors, health behaviors, and biology. African-American and Hispanic-American subjects are admixed populations whose genetic inheritance combines two or more ancestral populations originating from different continents. Racial inequalities in admixed populations can be parsed into relevant groups of mediating factors (environmental vs genetic) with the use of measures of genetic ancestry, including the proportion of an individual's genetic makeup that comes from each of the major ancestral continental populations. This review describes sleep health inequalities in African-American and Hispanic-American subjects and considers the potential utility of ancestry studies to exploit these differences to gain insight into the genetic underpinnings of these phenotypes. The inclusion of genetic approaches in future studies of admixed populations will allow greater understanding of the potential biological basis of race-related sleep health inequalities.
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Affiliation(s)
- Bharati Prasad
- Department of Medicine, University of Illinois at Chicago, and Jesse Brown VA Medical Center, Chicago, IL.
| | - Richa Saxena
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Namni Goel
- Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Sanjay R Patel
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA
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28
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Chen H, Cade BE, Gleason KJ, Bjonnes AC, Stilp AM, Sofer T, Conomos MP, Ancoli-Israel S, Arens R, Azarbarzin A, Bell GI, Below JE, Chun S, Evans DS, Ewert R, Frazier-Wood AC, Gharib SA, Haba-Rubio J, Hagen EW, Heinzer R, Hillman DR, Johnson WC, Kutalik Z, Lane JM, Larkin EK, Lee SK, Liang J, Loredo JS, Mukherjee S, Palmer LJ, Papanicolaou GJ, Penzel T, Peppard PE, Post WS, Ramos AR, Rice K, Rotter JI, Sands SA, Shah NA, Shin C, Stone KL, Stubbe B, Sul JH, Tafti M, Taylor KD, Teumer A, Thornton TA, Tranah GJ, Wang C, Wang H, Warby SC, Wellman DA, Zee PC, Hanis CL, Laurie CC, Gottlieb DJ, Patel SR, Zhu X, Sunyaev SR, Saxena R, Lin X, Redline S. Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men. Am J Respir Cell Mol Biol 2018; 58:391-401. [PMID: 29077507 PMCID: PMC5854957 DOI: 10.1165/rcmb.2017-0237oc] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 10/24/2017] [Indexed: 12/19/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a common heritable disorder displaying marked sexual dimorphism in disease prevalence and progression. Previous genetic association studies have identified a few genetic loci associated with OSA and related quantitative traits, but they have only focused on single ethnic groups, and a large proportion of the heritability remains unexplained. The apnea-hypopnea index (AHI) is a commonly used quantitative measure characterizing OSA severity. Because OSA differs by sex, and the pathophysiology of obstructive events differ in rapid eye movement (REM) and non-REM (NREM) sleep, we hypothesized that additional genetic association signals would be identified by analyzing the NREM/REM-specific AHI and by conducting sex-specific analyses in multiethnic samples. We performed genome-wide association tests for up to 19,733 participants of African, Asian, European, and Hispanic/Latino American ancestry in 7 studies. We identified rs12936587 on chromosome 17 as a possible quantitative trait locus for NREM AHI in men (N = 6,737; P = 1.7 × 10-8) but not in women (P = 0.77). The association with NREM AHI was replicated in a physiological research study (N = 67; P = 0.047). This locus overlapping the RAI1 gene and encompassing genes PEMT1, SREBF1, and RASD1 was previously reported to be associated with coronary artery disease, lipid metabolism, and implicated in Potocki-Lupski syndrome and Smith-Magenis syndrome, which are characterized by abnormal sleep phenotypes. We also identified gene-by-sex interactions in suggestive association regions, suggesting that genetic variants for AHI appear to vary by sex, consistent with the clinical observations of strong sexual dimorphism.
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Affiliation(s)
- Han Chen
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health and
- Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Kevin J. Gleason
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Andrew C. Bjonnes
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Sonia Ancoli-Israel
- Departments of Medicine and Psychiatry, University of California, San Diego, California
| | - Raanan Arens
- the Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Graeme I. Bell
- Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, the University of Chicago, Chicago, Illinois
| | - Jennifer E. Below
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health and
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sung Chun
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Ralf Ewert
- Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | | | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, University of Washington Medicine Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, Washington
| | - José Haba-Rubio
- Center of Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
| | - Erika W. Hagen
- Department of Population Health Sciences, University of Wisconsin, Madison, Wisconsin
| | - Raphael Heinzer
- Center of Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
| | - David R. Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Zoltan Kutalik
- Institute of Social and Preventive Medicine, University Hospital of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jacqueline M. Lane
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Emma K. Larkin
- Department of Medicine, Division of Allergy, Pulmonary, and Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Seung Ku Lee
- Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Jeokgum-ro, Danwon-gu, Ansan-si, Gyeonggi-Do, Republic of Korea
| | - Jingjing Liang
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, University of California San Diego School of Medicine, La Jolla, California
| | - Sutapa Mukherjee
- Adelaide Institute for Sleep Health, Flinders Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, Adelaide, South Australia, Australia
| | - George J. Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Thomas Penzel
- University Hospital Charité Berlin, Sleep Center, Berlin, Germany
| | - Paul E. Peppard
- Department of Population Health Sciences, University of Wisconsin, Madison, Wisconsin
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor–University of California Los Angeles Medical Center, Torrance, California
| | - Scott A. Sands
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Neomi A. Shah
- Division of Pulmonary, Critical Care, and Sleep, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Chol Shin
- Department of Pulmonary, Sleep, and Critical Care Medicine, College of Medicine, Korea University Ansan Hospital, Jeokgum-ro, Danwon-gu, Ansan-si, Gyeonggi-do, Republic of Korea
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Beate Stubbe
- Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Jae Hoon Sul
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California
| | - Mehdi Tafti
- Center of Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
- Department of Physiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute and Department of Pediatrics at Harbor–University of California Los Angeles Medical Center, Torrance, California
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Chaolong Wang
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Computational and Systems Biology, Genome Institute of Singapore, Singapore
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Simon C. Warby
- Department of Psychiatry, University of Montreal, Montreal, Quebec, Canada
| | - D. Andrew Wellman
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Phyllis C. Zee
- Department of Neurology and Sleep Medicine Center, Northwestern University, Chicago, Illinois
| | - Craig L. Hanis
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health and
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Veterans Affairs Boston Healthcare System, Boston, Massachusetts
| | - Sanjay R. Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Shamil R. Sunyaev
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts; and
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
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29
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Gan-Or Z, Alcalay RN, Rouleau GA, Postuma RB. Sleep disorders and Parkinson disease; lessons from genetics. Sleep Med Rev 2018; 41:101-112. [PMID: 29449121 DOI: 10.1016/j.smrv.2018.01.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 10/04/2017] [Accepted: 01/15/2018] [Indexed: 02/08/2023]
Abstract
Parkinson disease is a common, age-related neurodegenerative disorder, projected to afflict millions of individuals in the near future. Understanding its etiology and identifying clinical, genetic or biological markers for Parkinson disease onset and progression is therefore of major importance. Various sleep-related disorders are the most common group of non-motor symptoms in advanced Parkinson disease, but they can also occur during its prodromal phase. However, with the exception of REM sleep behavior disorder, it is unclear whether they are part of the early pathological process of Parkinson disease, or if they develop as Parkinson disease advances because of treatments and neurodegeneration progression. The advancements in genetic studies in the past two decades have generated a wealth of information, and recent genetic studies offer new insight on the association of sleep-related disorders with Parkinson disease. More specifically, comparing genetic data between Parkinson disease and sleep-related disorders can clarify their association, which may assist in determining whether they can serve as clinical markers for Parkinson disease risk or progression. In this review, we discuss the current knowledge on the genetics of sleep-related disorders in Parkinson disease context, and the potential implications on research, diagnosis, counseling and treatment.
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Affiliation(s)
- Ziv Gan-Or
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada; Department of Human Genetics, McGill University, Montréal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada.
| | - Roy N Alcalay
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Guy A Rouleau
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada; Department of Human Genetics, McGill University, Montréal, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
| | - Ronald B Postuma
- Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada
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30
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van der Spek A, Luik AI, Kocevska D, Liu C, Brouwer RWW, van Rooij JGJ, van den Hout MCGN, Kraaij R, Hofman A, Uitterlinden AG, van IJcken WFJ, Gottlieb DJ, Tiemeier H, van Duijn CM, Amin N. Exome-Wide Meta-Analysis Identifies Rare 3'-UTR Variant in ERCC1/CD3EAP Associated with Symptoms of Sleep Apnea. Front Genet 2017; 8:151. [PMID: 29093733 PMCID: PMC5651235 DOI: 10.3389/fgene.2017.00151] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 09/28/2017] [Indexed: 12/30/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a common sleep breathing disorder associated with an increased risk of cardiovascular and cerebrovascular diseases and mortality. Although OSA is fairly heritable (~40%), there have been only few studies looking into the genetics of OSA. In the present study, we aimed to identify genetic variants associated with symptoms of sleep apnea by performing a whole-exome sequence meta-analysis of symptoms of sleep apnea in 1,475 individuals of European descent. We identified 17 rare genetic variants with at least suggestive evidence of significance. Replication in an independent dataset confirmed the association of a rare genetic variant (rs2229918; minor allele frequency = 0.3%) with symptoms of sleep apnea (p-valuemeta = 6.98 × 10−9, βmeta = 0.99). Rs2229918 overlaps with the 3′ untranslated regions of ERCC1 and CD3EAP genes on chromosome 19q13. Both genes are expressed in tissues in the neck area, such as the tongue, muscles, cartilage and the trachea. Further, CD3EAP is localized in the nucleus and mitochondria and involved in the tumor necrosis factor-alpha/nuclear factor kappa B signaling pathway. Our results and biological functions of CD3EAP/ERCC1 genes suggest that the 19q13 locus is interesting for further OSA research.
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Affiliation(s)
| | - Annemarie I Luik
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Desana Kocevska
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, Netherlands
| | - Chunyu Liu
- Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA, United States.,Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD, United States.,Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States
| | | | - Jeroen G J van Rooij
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Netherlands.,Netherlands Consortium for Healthy Ageing, Rotterdam, Netherlands.,Department of Neurology, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Robert Kraaij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Netherlands.,Netherlands Consortium for Healthy Ageing, Rotterdam, Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Netherlands.,Netherlands Consortium for Healthy Ageing, Rotterdam, Netherlands
| | | | - Daniel J Gottlieb
- VA Boston Healthcare System, Boston, MA, United States.,Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, United States.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Psychiatry, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
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31
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Wang H, Cade BE, Chen H, Gleason KJ, Saxena R, Feng T, Larkin EK, Vasan RS, Lin H, Patel SR, Tracy RP, Liu Y, Gottlieb DJ, Below JE, Hanis CL, Petty LE, Sunyaev SR, Frazier-Wood AC, Rotter JI, Post W, Lin X, Redline S, Zhu X. Variants in angiopoietin-2 (ANGPT2) contribute to variation in nocturnal oxyhaemoglobin saturation level. Hum Mol Genet 2017; 25:5244-5253. [PMID: 27798093 DOI: 10.1093/hmg/ddw324] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Accepted: 09/19/2016] [Indexed: 12/30/2022] Open
Abstract
Genetic determinants of sleep-disordered breathing (SDB), a common set of disorders that contribute to significant cardiovascular and neuropsychiatric morbidity, are not clear. Overnight nocturnal oxygen saturation (SaO2) is a clinically relevant and easily measured indicator of SDB severity but its genetic contribution has never been studied. Our recent study suggests nocturnal SaO2 is heritable. We performed linkage analysis, association analysis and haplotype analysis of average nocturnal oxyhaemoglobin saturation in participants in the Cleveland Family Study (CFS), followed by gene-based association and additional tests in four independent samples. Linkage analysis identified a peak (LOD = 4.29) on chromosome 8p23. Follow-up association analysis identified two haplotypes in angiopoietin-2 (ANGPT2) that significantly contributed to the variation of SaO2 (P = 8 × 10-5) and accounted for a portion of the linkage evidence. Gene-based association analysis replicated the association of ANGPT2 and nocturnal SaO2. A rare missense SNP rs200291021 in ANGPT2 was associated with serum angiopoietin-2 level (P = 1.29 × 10-4), which was associated with SaO2 (P = 0.002). Our study provides the first evidence for the association of ANGPT2, a gene previously implicated in acute lung injury syndromes, with nocturnal SaO2, suggesting that this gene has a broad range of effects on gas exchange, including influencing oxygenation during sleep.
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Affiliation(s)
- Heming Wang
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Han Chen
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kevin J Gleason
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Center for Human Genetic Research and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Tao Feng
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Emma K Larkin
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ramachandran S Vasan
- Preventive Medicine & Epidemiology, Boston University School of Medicine, Boston, MA, USA.,Framingham Heart Study, Framingham, MA
| | - Honghuang Lin
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Sanjay R Patel
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Russell P Tracy
- Department of Pathology & Laboratory Medicine, University of Vermont, Burlington, VT, USA
| | - Yongmei Liu
- Epidemiology and Prevention Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Sleep Disorders Center, VA Boston Healthcare System, Boston, MA, USA
| | - Jennifer E Below
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Craig L Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lauren E Petty
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Shamil R Sunyaev
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.,Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wendy Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
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32
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Pham LV, Polotsky VY. Genome-Wide Association Studies in Obstructive Sleep Apnea. Will We Catch a Black Cat in a Dark Room? Am J Respir Crit Care Med 2016; 194:789-791. [PMID: 27689706 DOI: 10.1164/rccm.201603-0613ed] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Luu V Pham
- 1 Department of Medicine The Johns Hopkins University School of Medicine Baltimore, Maryland
| | - Vsevolod Y Polotsky
- 1 Department of Medicine The Johns Hopkins University School of Medicine Baltimore, Maryland
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33
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Cade BE, Chen H, Stilp AM, Gleason KJ, Sofer T, Ancoli-Israel S, Arens R, Bell GI, Below JE, Bjonnes AC, Chun S, Conomos MP, Evans DS, Johnson WC, Frazier-Wood AC, Lane JM, Larkin EK, Loredo JS, Post WS, Ramos AR, Rice K, Rotter JI, Shah NA, Stone KL, Taylor KD, Thornton TA, Tranah GJ, Wang C, Zee PC, Hanis CL, Sunyaev SR, Patel SR, Laurie CC, Zhu X, Saxena R, Lin X, Redline S. Genetic Associations with Obstructive Sleep Apnea Traits in Hispanic/Latino Americans. Am J Respir Crit Care Med 2016; 194:886-897. [PMID: 26977737 PMCID: PMC5074655 DOI: 10.1164/rccm.201512-2431oc] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 03/14/2016] [Indexed: 11/16/2022] Open
Abstract
RATIONALE Obstructive sleep apnea is a common disorder associated with increased risk for cardiovascular disease, diabetes, and premature mortality. Although there is strong clinical and epidemiologic evidence supporting the importance of genetic factors in influencing obstructive sleep apnea, its genetic basis is still largely unknown. Prior genetic studies focused on traits defined using the apnea-hypopnea index, which contains limited information on potentially important genetically determined physiologic factors, such as propensity for hypoxemia and respiratory arousability. OBJECTIVES To define novel obstructive sleep apnea genetic risk loci for obstructive sleep apnea, we conducted genome-wide association studies of quantitative traits in Hispanic/Latino Americans from three cohorts. METHODS Genome-wide data from as many as 12,558 participants in the Hispanic Community Health Study/Study of Latinos, Multi-Ethnic Study of Atherosclerosis, and Starr County Health Studies population-based cohorts were metaanalyzed for association with the apnea-hypopnea index, average oxygen saturation during sleep, and average respiratory event duration. MEASUREMENTS AND MAIN RESULTS Two novel loci were identified at genome-level significance (rs11691765, GPR83, P = 1.90 × 10-8 for the apnea-hypopnea index, and rs35424364; C6ORF183/CCDC162P, P = 4.88 × 10-8 for respiratory event duration) and seven additional loci were identified with suggestive significance (P < 5 × 10-7). Secondary sex-stratified analyses also identified one significant and several suggestive associations. Multiple loci overlapped genes with biologic plausibility. CONCLUSIONS These are the first genome-level significant findings reported for obstructive sleep apnea-related physiologic traits in any population. These findings identify novel associations in inflammatory, hypoxia signaling, and sleep pathways.
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Affiliation(s)
- Brian E. Cade
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
| | - Han Chen
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, Washington
| | | | - Tamar Sofer
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Sonia Ancoli-Israel
- Department of Medicine and
- Department of Psychiatry, University of California, San Diego, California
- Department of Veterans Affairs San Diego Center of Excellence for Stress and Mental Health, San Diego, California
| | - Raanan Arens
- The Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Graeme I. Bell
- Section of Adult and Pediatric Endocrinology, Diabetes, and Metabolism, The University of Chicago, Chicago, Illinois
| | - Jennifer E. Below
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Andrew C. Bjonnes
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Sung Chun
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, California
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington
| | | | - Jacqueline M. Lane
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
- Center for Human Genetic Research and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Emma K. Larkin
- Department of Medicine, Division of Allergy, Pulmonary and Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, California
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, Maryland
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | - Neomi A. Shah
- Department of Medicine, Montefiore Medical Center, Bronx, New York
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California
| | | | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Chaolong Wang
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Genome Institute of Singapore, Singapore
| | - Phyllis C. Zee
- Department of Neurology and Sleep Medicine Center, Northwestern University, Chicago, Illinois
| | - Craig L. Hanis
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Shamil R. Sunyaev
- Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Sanjay R. Patel
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts; and
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Richa Saxena
- Division of Sleep and Circadian Disorders and
- Center for Human Genetic Research and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Xihong Lin
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Susan Redline
- Division of Sleep and Circadian Disorders and
- Division of Sleep Medicine and
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts; and
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34
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Kim J, Lee SJ, Choi KM, Lee SK, Yoon DW, Lee SG, Shin C. Obstructive Sleep Apnea Is Associated with Elevated High Sensitivity C-Reactive Protein Levels Independent of Obesity: Korean Genome and Epidemiology Study. PLoS One 2016; 11:e0163017. [PMID: 27684378 PMCID: PMC5042376 DOI: 10.1371/journal.pone.0163017] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 09/01/2016] [Indexed: 01/06/2023] Open
Abstract
Obstructive sleep apnea syndrome (OSA) has been recognized as a common health problem, and increasing obesity rates have led to further remarkable increases in the prevalence of OSA, along with more prominent cardiovascular morbidities. Though previous studies have reported an independent relationship between elevated high sensitivity C-reactive protein (hsCRP) levels and OSA, the issue remains controversial owing to inadequate consideration of obesity and various confounding factors. So far, few population based studies of association between OSA and hsCRP levels have been published. Therefore, the purpose of the present study was to investigate whether OSA is associated with increased hsCRP levels independent of obesity in a large population-based study. A total of 1,835 subjects (968 men and 867 women) were selected from a larger cohort of the ongoing Korean Genome and Epidemiology Study (KoGES). Overnight polysomnography was performed on each participant. All participants underwent anthropometric measurements and biochemical analyses, including analysis of lipid profiles and hsCRP levels. Based on anthropometric data, body mass index (BMI) and waist hip ratio (WHR) were calculated and fat mass (FM) were measured by means of multi-frequency bioelectrical impedance analysis (BIA). Mild OSA and moderate to severe OSA were defined by an AHI >5 and ≥15, respectively. The population was sub-divided into 3 groups based on the tertile cut-points for the distribution of hsCRP levels. The percentage of participants in the highest tertile of hsCRP increased dose-dependently according to the severity of OSA. After adjustment for potential confounders and obesity-related variables (BMI, WHR, and body fat) in a multiple logistic model, participants with moderate to severe OSA had 1.73-, 2.01-, and 1.61-fold greater risks of being in the highest tertile of hsCRP levels than participants with non-OSA, respectively. Interaction between obesity (BMI ≥25kg/m2) and the presence of moderate-to-severe OSA was significant on the middle tertile levels of hsCRP (OR = 2.4), but not on the highest tertile, compared to the lowest tertile. OSA is independently associated with elevated hsCRP levels and may reflect an increased risk for cardiovascular morbidity. However, we found that OSA and obesity interactively contribute to individuals with general levels of hsCRP (<1.01 mg/dl). The short-term and long-term effects of elevated hsCRP levels on cardiovascular risk in the context of OSA remain to be defined in future studies.
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Affiliation(s)
- Jinkwan Kim
- Department of Biomedical Laboratory Science, College of Health Science, Jungwon University, Chung-Buk, Republic of Korea
| | - Seok Jun Lee
- Department of Biomedical Laboratory Science, College of Health Science, Cheong-Ju University, Chung-Buk, Republic of Korea
| | - Kyung-Mee Choi
- Institute of Human Genomic Study, Korea University Ansan Hospital, Korea University, Ansan, Republic of Korea
| | - Seung Ku Lee
- Institute of Human Genomic Study, Korea University Ansan Hospital, Korea University, Ansan, Republic of Korea
| | - Dae Wui Yoon
- Institute of Human Genomic Study, Korea University Ansan Hospital, Korea University, Ansan, Republic of Korea
| | - Seung Gwan Lee
- Department of Health and Integrative Science, College of Health Science, Korea University, Seoul, Republic of Korea
| | - Chol Shin
- Institute of Human Genomic Study, Korea University Ansan Hospital, Korea University, Ansan, Republic of Korea
- Department of Pulmonary Sleep and Critical Care Medicine Disorder Center, College of Medicine, Korea University, Ansan, Republic of Korea
- * E-mail:
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35
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Kubin L. Neural Control of the Upper Airway: Respiratory and State-Dependent Mechanisms. Compr Physiol 2016; 6:1801-1850. [PMID: 27783860 DOI: 10.1002/cphy.c160002] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Upper airway muscles subserve many essential for survival orofacial behaviors, including their important role as accessory respiratory muscles. In the face of certain predisposition of craniofacial anatomy, both tonic and phasic inspiratory activation of upper airway muscles is necessary to protect the upper airway against collapse. This protective action is adequate during wakefulness, but fails during sleep which results in recurrent episodes of hypopneas and apneas, a condition known as the obstructive sleep apnea syndrome (OSA). Although OSA is almost exclusively a human disorder, animal models help unveil the basic principles governing the impact of sleep on breathing and upper airway muscle activity. This article discusses the neuroanatomy, neurochemistry, and neurophysiology of the different neuronal systems whose activity changes with sleep-wake states, such as the noradrenergic, serotonergic, cholinergic, orexinergic, histaminergic, GABAergic and glycinergic, and their impact on central respiratory neurons and upper airway motoneurons. Observations of the interactions between sleep-wake states and upper airway muscles in healthy humans and OSA patients are related to findings from animal models with normal upper airway, and various animal models of OSA, including the chronic-intermittent hypoxia model. Using a framework of upper airway motoneurons being under concurrent influence of central respiratory, reflex and state-dependent inputs, different neurotransmitters, and neuropeptides are considered as either causing a sleep-dependent withdrawal of excitation from motoneurons or mediating an active, sleep-related inhibition of motoneurons. Information about the neurochemistry of state-dependent control of upper airway muscles accumulated to date reveals fundamental principles and may help understand and treat OSA. © 2016 American Physiological Society. Compr Physiol 6:1801-1850, 2016.
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Affiliation(s)
- Leszek Kubin
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Aragón-Arreola JF, Moreno-Villegas CA, Armienta-Rojas DA, De la Herrán-Arita AK. An insight of sleep disorders in Africa. eNeurologicalSci 2016; 3:37-40. [PMID: 29430534 PMCID: PMC5803062 DOI: 10.1016/j.ensci.2016.02.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2015] [Revised: 02/09/2016] [Accepted: 02/22/2016] [Indexed: 12/25/2022] Open
Abstract
Sleep is a recurrent physiologic and fundamental process in every human being, regardless of ethnicity, gender, birthplace, or occupation; however, the features of sleep are swayed by genetic background and environmental influences. All these factors have an intricate relationship, and arise from a complex and assorted genetic repertoire in the alleles that promote a higher genetic variation in human populations. Sleep disorders have become an uprising public health problem in the modern society; in addition, the correlation between sleep disorders and the development of late chronic diseases has been extensively studied, finding an important causality between them. Therefore, an adequate evaluation of the current situation in a developing continent such as Africa is essential to develop satisfactory health policies. In this review, we will reprise several aspects that influence the sleep-wake cycle in individuals with African heritage (including African Americans and sub-Saharan Africans), such as genetic background, HIV infection, tropical diseases, immunological markers, cultural aspects, and place them into Africa's context in order to have a better comprehension of its situation.
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Key Words
- African heritage
- CNS, Central nervous system
- CRP, C-reactive protein
- CSF, Cerebrospinal fluid
- Cry, Cryptochrome
- HAT, Human African trypanosomiasis
- IL-6, Interleukin 6
- IL1R2, Interleukin 1 receptor type 2
- Inflammatory markers
- OSA, Obstructive sleep apnea
- Obstructive sleep apnea
- PER, Period
- PLEK, Plekstrin
- SES, Socioeconomic status
- SNP, Single nucleotide polymorphism
- Sleep disorders
- Tropical diseases
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Khalyfa A, Gileles-Hillel A, Gozal D. The Challenges of Precision Medicine in Obstructive Sleep Apnea. Sleep Med Clin 2016; 11:213-26. [DOI: 10.1016/j.jsmc.2016.01.003] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Nam H, Lim JS, Kim JS, Lee KJ, Koo DL, Lee C. Sleep Perception in Obstructive Sleep Apnea: A Study Using Polysomnography and the Multiple Sleep Latency Test. J Clin Neurol 2016; 12:230-5. [PMID: 27074296 PMCID: PMC4828571 DOI: 10.3988/jcn.2016.12.2.230] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Revised: 12/20/2015] [Accepted: 12/23/2015] [Indexed: 11/26/2022] Open
Abstract
Background and Purpose Discrepancies between objectively measured sleep and subjective sleep perception in patients with insomnia have been reported. However, few studies have investigated sleep-state misperception in patients with obstructive sleep apnea (OSA). We designed this study to 1) delineate the factors that could affect this discrepancy and 2) infer an underlying mechanism in patients with OSA. Methods We recruited patients who visited our sleep clinic for the evaluation of their snoring and/or observed OSA. Participants completed a structured questionnaire and underwent overnight polysomnography. On the following day, five sessions of the multiple sleep latency test (MSLT) were applied. We divided the patients into two groups: normal sleep perception and abnormal perception. The abnormal-perception group included patients whose perceived total sleep time was less than 80% of that measured in polysomnography. Results Fifty OSA patients were enrolled from a university hospital sleep clinic. Excessive daytime sleepiness, periodic limb movement index (PLMI), and the presence of dreaming were positively associated with poor sleep perception. REM sleep near the sleep termination exerted important effects. Respiratory disturbance parameters were not related to sleep perception. There was a prolongation in the sleep latency in the first session of the MSLT and we suspected that a delayed sleep phase occurred in poor-sleep perceivers. Conclusions As an objectively good sleep does not match the subjective good-sleep perception in OSA, physicians should keep in mind that OSA patients who perceive that they have slept well does not mean that their OSA is less severe.
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Affiliation(s)
- Hyunwoo Nam
- Department of Neurology, Seoul National University Boramae Hospital, Seoul, Korea
| | - Jae Sung Lim
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Korea
| | - Jun Soon Kim
- Department of Neurology, Seoul National University Boramae Hospital, Seoul, Korea
| | - Keon Joo Lee
- Department of Neurology, Seoul National University Boramae Hospital, Seoul, Korea
| | - Dae Lim Koo
- Department of Neurology, Seoul National University Boramae Hospital, Seoul, Korea
| | - Chulhee Lee
- Department of Otorhinolaryngology, Seoul National University Bundang Hospital, Seongnam, Korea.
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Abstract
Analysis of large-volume data holds promise for improving the application of precision medicine to sleep, including improving identification of patient subgroups who may benefit from alternative therapies. Big data used within the health care system also promises to facilitate end-to-end screening, diagnosis, and management of sleep disorders; improve the recognition of differences in presentation and susceptibility to sleep apnea; and lead to improved management and outcomes. To meet the vision of personalized, precision therapeutics and diagnostics and improving the efficiency and quality of sleep medicine will require ongoing efforts, investments, and change in our current medical and research cultures.
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Williams NJ, Jean-Louis G, Ravenell J, Seixas A, Islam N, Trinh-Shevrin C, Ogedegbe G. A community-oriented framework to increase screening and treatment of obstructive sleep apnea among blacks. Sleep Med 2016; 18:82-7. [PMID: 26652238 PMCID: PMC4908818 DOI: 10.1016/j.sleep.2015.07.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Revised: 07/22/2015] [Accepted: 07/31/2015] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Obstructive sleep apnea (OSA) is a leading sleep disorder that is disproportionately more prevalent in minority populations and is a major risk factor for cardiovascular disease (CVD) morbidity and mortality. OSA is associated with many chronic conditions including hypertension, diabetes, and obesity, all of which are disproportionately more prevalent among blacks (ie, peoples of African American, Caribbean, or African descent). METHODS This article reviews studies conducted in the United States (US) that investigated sleep screenings and adherence to treatment for OSA among blacks. In addition, guidelines are provided for implementing a practical framework to increase OSA screening and management among blacks. RESULTS Several studies have documented racial/ethnic disparities in adherence to treatment for OSA. However, despite its public health significance, there is a paucity of studies addressing these disparities. Further, there is a lack of health programs and policies to increase screening and treatment of OSA among blacks and other minority populations. A practical framework to increase the number of blacks who are screened for OSA and treated appropriately is warranted. Such a framework is timely and major importance, as early identification of OSA in this high-risk population could potentially lead to early treatment and prevention of CVD, thereby reducing racial and ethnic disparities in sleep-related CVD morbidity and mortality.
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Affiliation(s)
- Natasha J Williams
- Center for Healthful Behavior Change, Division of Health and Behavior, Department of Population Health, NYU Medical Center, New York, NY 10016, USA.
| | - Girardin Jean-Louis
- Center for Healthful Behavior Change, Division of Health and Behavior, Department of Population Health, NYU Medical Center, New York, NY 10016, USA
| | - Joeseph Ravenell
- Center for Healthful Behavior Change, Division of Health and Behavior, Department of Population Health, NYU Medical Center, New York, NY 10016, USA
| | - Azizi Seixas
- Center for Healthful Behavior Change, Division of Health and Behavior, Department of Population Health, NYU Medical Center, New York, NY 10016, USA
| | - Nadia Islam
- Center for Health Equity, Division of Health and Behavior, Department of Population Health, NYU Medical Center, New York, NY 10016, USA
| | - Chau Trinh-Shevrin
- Center for Health Equity, Division of Health and Behavior, Department of Population Health, NYU Medical Center, New York, NY 10016, USA
| | - Gbenga Ogedegbe
- Center for Healthful Behavior Change, Division of Health and Behavior, Department of Population Health, NYU Medical Center, New York, NY 10016, USA
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Abstract
Sleep disorders are, in part, attributable to genetic variability across individuals. There has been considerable progress in understanding the role of genes for some sleep disorders, such as the identification of a human leukocyte antigen gene for narcolepsy. For other sleep disorders, such as insomnia, little work has been done. Optimizing phenotyping strategies is critical, as is the case for sleep apnea, for which intermediate traits such as obesity and craniofacial features may prove to be more tractable for genetic studies. Rapid advances in genotyping and statistical genetics are likely to lead to greater discoveries in the near future.
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Affiliation(s)
- Philip R Gehrman
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Suite 670, Philadelphia, PA 19104, USA.
| | - Brendan T Keenan
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, 125 South 31st Street, Suite 2100, Philadelphia, PA 19104-3403, USA
| | - Enda M Byrne
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, 125 South 31st Street, Suite 2100, Philadelphia, PA 19104-3403, USA; Queensland Brain Institute, Brisbane QLD 4072, Australia
| | - Allan I Pack
- Division of Sleep Medicine, Department of Medicine, Center for Sleep and Circadian Neurobiology, Perelman School of Medicine, University of Pennsylvania, 125 South 31st Street, Suite 2100, Philadelphia, PA 19104-3403, USA
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Jean-Louis G, Grandner MA, Youngstedt SD, Williams NJ, Zizi F, Sarpong DF, Ogedegbe GG. Differential increase in prevalence estimates of inadequate sleep among black and white Americans. BMC Public Health 2015; 15:1185. [PMID: 26611643 PMCID: PMC4661980 DOI: 10.1186/s12889-015-2500-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Accepted: 11/17/2015] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The National Health Interview Survey (NHIS) was used to ascertain whether increases in inadequate sleep differentially affected black and white Americans. We tested the hypothesis that prevalence estimates of inadequate sleep were consistently greater among blacks, and that temporal changes have affected these two strata differentially. METHODS NHIS is an ongoing cross-sectional study of non-institutionalized US adults (≥18 years) providing socio-demographic, health risk, and medical factors. Sleep duration was coded as very short sleep [VSS] (<5 h), short sleep [SS] (5-6 h), or long sleep [LS] (>8 h), referenced to 7-8 h sleepers. Analyses adjusted for NHIS' complex sampling design using SAS-callable SUDAAN. RESULTS Among whites, the prevalence of VSS increased by 53% (1.5% to 2.3%) from 1977 to 2009 and the prevalence of SS increased by 32% (19.3% to 25.4 %); prevalence of LS decreased by 30% (11.2% to 7.8%). Among blacks, the prevalence of VSS increased by 21% (3.3% to 4.0%) and the prevalence of SS increased by 37% (24.6 % to 33.7%); prevalence of LS decreased by 42% (16.1% to 9.4%). Adjusted multinomial regression analysis showed that odds of reporting inadequate sleep for whites were: VSS (OR = 1.40, 95% CI = 1.13-1.74, p < 0.001), SS (OR = 1.34, 95 % CI = 1.25-1.44, p < 0.001), and LS (OR = 0.94, 95% CI = 0.85-1.05, NS). For blacks, estimates were: VSS (OR = 0.83, 95% CI = 0.60-1.40, NS), SS (OR = 1.21, 95% CI = 1.05-1.50, p < 0.001), and LS (OR = 0.84, 95% CI = 0.64-1.08, NS). CONCLUSIONS Blacks and whites are characteristically different regarding the prevalence of inadequate sleep over the years. Temporal changes in estimates of inadequate sleep seem dependent upon individuals' race/ethnicity.
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Affiliation(s)
- Girardin Jean-Louis
- Center for Healthful Behavior Change, Department of Population Health, New York University School of Medicine, 227 East 30th St, New York, NY, 10016, USA.
| | - Michael A Grandner
- Department of Psychiatry at the University of Arizona College of Medicine, 550 East Van Buren, Tucson, AZ, 85004, USA.
| | - Shawn D Youngstedt
- College of Nursing and Health Innovation, College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA.
| | - Natasha J Williams
- Center for Healthful Behavior Change, Department of Population Health, New York University School of Medicine, 227 East 30th St, New York, NY, 10016, USA.
| | - Ferdinand Zizi
- Center for Healthful Behavior Change, Department of Population Health, New York University School of Medicine, 227 East 30th St, New York, NY, 10016, USA.
| | - Daniel F Sarpong
- Center for Minority Health & Health Disparities Research and Education, Xavier University of Louisiana, New Orleans, LA, USA.
| | - Gbenga G Ogedegbe
- Center for Healthful Behavior Change, Department of Population Health, New York University School of Medicine, 227 East 30th St, New York, NY, 10016, USA.
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Roles of interleukin (IL)-6 gene polymorphisms, serum IL-6 levels, and treatment in obstructive sleep apnea: a meta-analysis. Sleep Breath 2015; 20:719-31. [DOI: 10.1007/s11325-015-1288-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Revised: 09/21/2015] [Accepted: 11/02/2015] [Indexed: 12/20/2022]
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Jean-Louis G, Youngstedt S, Grandner M, Williams NJ, Sarpong D, Zizi F, Ogedegbe G. Unequal burden of sleep-related obesity among black and white Americans. Sleep Health 2015; 1:169-176. [PMID: 26937487 DOI: 10.1016/j.sleh.2015.07.003] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND This study ascertained whether individuals of the black race/ethnicity are unequally burdened by sleep-related overweight/obesity. METHODS Analysis was based on data obtained from Americans (ages, 18-85 years) in the National Health Interview Survey (1977-2009). Sleep duration was coded as either very short sleep (VSS) (≤5 hours), short sleep (SS) (5-6 hours), or long sleep (>8 hours), referenced to 7-8-hour sleepers. Overweight was defined as body mass index (BMI) ≥25.0 and ≤29.9 kg/m2 and obesity, BMI ≥30 kg/m2, referenced to normal weight (BMI = 18.5-24.9 kg/m2). RESULTS Multivariate-adjusted regression analyses indicated that, among whites, VSS was associated with a 10% increased likelihood of being overweight and 51% increased likelihood of being obese, relative to 7-8-hour sleepers. Short sleep was associated with a 13% increased likelihood of being overweight and 45% increased likelihood of being obese. Long sleep was associated with 21% increased likelihood of being obese. Among blacks, VSS was associated with a 76% increased likelihood of being overweight and 81% increased likelihood of being obese. Short sleep was associated with a 16% increased likelihood of being overweight and 32% increased likelihood of being obese. As for the white stratum, long sleep was associated with a 25% increased likelihood of being obese. CONCLUSION Our investigation demonstrates strong linkages between inadequate sleep and overweight/ obesity among black and white Americans. Although it cannot be said that insufficient sleep causes overweight/obesity, individuals of the black race/ethnicity sleeping ≤5 hours may be unequally burdened by sleep-related overweight/obesity.
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Affiliation(s)
- Girardin Jean-Louis
- Center for Healthful Behavior Change, Department of Population Health, NYU School of Medicine, New York, NY
| | - Shawn Youngstedt
- College of Nursing and Health Innovation, College of Health Solutions, Arizona State University, Phoenix, AZ
| | - Michael Grandner
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Natasha J Williams
- Center for Healthful Behavior Change, Department of Population Health, NYU School of Medicine, New York, NY
| | - Daniel Sarpong
- Center for Minority Health & Health Disparities Research and Education, Xavier University of Louisiana, New Orleans, LA
| | - Ferdinand Zizi
- Center for Healthful Behavior Change, Department of Population Health, NYU School of Medicine, New York, NY
| | - Gbenga Ogedegbe
- Center for Healthful Behavior Change, Department of Population Health, NYU School of Medicine, New York, NY
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de Lima FFF, Mazzotti DR, Tufik S, Bittencourt L. The role inflammatory response genes in obstructive sleep apnea syndrome: a review. Sleep Breath 2015. [DOI: 10.1007/s11325-015-1226-7] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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46
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Severe Obstructive Sleep Apnea Due to Massive Cervical Lipohypertrophy. J Craniofac Surg 2015; 26:e471-2. [PMID: 26147037 DOI: 10.1097/scs.0000000000001911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Obstructive sleep apnea is a difficult problem to deal with. Many studies on the pathogenesis of obstructive sleep apnea were performed in the past, and we present cervical lipohypertrophy causing severe obstructive sleep apnea in this article.
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Baik I, Seo HS, Yoon D, Kim SH, Shin C. Associations of Sleep Apnea, NRG1 Polymorphisms, Alcohol Consumption, and Cerebral White Matter Hyperintensities: Analysis with Genome-Wide Association Data. Sleep 2015; 38:1137-43. [PMID: 25325441 DOI: 10.5665/sleep.4830] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2014] [Accepted: 07/25/2014] [Indexed: 12/27/2022] Open
Abstract
STUDY OBJECTIVE There are few studies on gene-environment interactions with obstructive sleep apnea (OSA). Our study aimed to explore genetic polymorphisms associated with OSA using genome-wide association (GWA) data and evaluate the effects of relevant polymorphisms on the association between risk factors, including obesity and alcohol consumption, and OSA. We also investigated on these associations in relation to cerebral white matter hyperintensities (WMH) on magnetic resonance images. DESIGN A cross-sectional design. SETTING A polysomnography study embedded in a population-based cohort from the Korean Genome Epidemiology Study was conducted in 2011-2013. PARTICIPANTS 1,763 participants aged 48-78 years. RESULTS 251 individuals were identified to have OSA with an apnea-hypopnea index ≥ 15. A common polymorphism of neuregulin-1 gene (NRG1), rs10097555, was selected as the most suggestive locus associated with OSA (P value < 10(-5)) based on the results of GWA analysis in a matched case-control subsample (n = 470). Among 1,763 participants, we found that the presence of the NRG1 polymorphism is inversely associated with OSA (P value < 0.01) even after taking into account potential risk factors; the multivariate odds ratio (95% confidence interval) for the mutant alleles was 0.57 (0.39-0.82) compared with the wild-type. We observed that this association is modified by alcohol consumption (P < 0.05), not by obesity. We also observed that WMH are positively associated with OSA independent of the NRG1 polymorphism and alcohol consumption (P < 0.05). CONCLUSIONS These findings suggest that the neuregulin-1 gene (NRG1) may be involved in the etiological mechanisms of obstructive sleep apnea (OSA) and that carriers of a particular NRG1 mutation may be less likely to have OSA if they do not drink alcoholic beverages.
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Affiliation(s)
- Inkyung Baik
- Department of Foods and Nutrition, College of Natural Sciences, Kookmin University, Seoul, Republic of Korea
| | - Hyung Suk Seo
- Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea
| | - Daewui Yoon
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Seong Hwan Kim
- Division of Cardiology, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea
| | - Chol Shin
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Republic of Korea.,Division of Pulmonary, Sleep and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea
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Côté V, Ruiz AG, Perkins J, Sillau S, Friedman NR. Characteristics of children under 2 years of age undergoing tonsillectomy for upper airway obstruction. Int J Pediatr Otorhinolaryngol 2015; 79:903-908. [PMID: 25912628 DOI: 10.1016/j.ijporl.2015.04.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Revised: 04/02/2015] [Accepted: 04/04/2015] [Indexed: 11/30/2022]
Abstract
INTRODUCTION To study characteristics of children less than 2 years who underwent a tonsillectomy for sleep disordered breathing (SDB) or obstructive sleep apnea (OSA) to assess for factors associated with requesting a preoperative polysomnogram (PSG) and to identify predictors of upper airway obstruction in this group. MATERIALS AND METHODS A retrospective chart review of children under 2 years who underwent a tonsillectomy over a 7-year period at a tertiary care pediatric hospital was undertaken. Patient demographics, characteristics and polysomnography results, when applicable, were collected. In order to determine if the gathered demographics of our cohort differed from the non-surgical population, we compared our data with available Colorado data for each variable. Children were stratified by OSA severity using their obstructive apnea-hypopnea index (OAHI). RESULTS 197 (2.2%) of 9038 patients who underwent tonsillectomy for SDB or OSA were ≤ 24 months. The proportions of male, African-American, Hispanic, obese, underweight, premature, syndromic and daycare patients in our cohort were significantly different than in the general population. In a multivariate model, the odds of African-Americans having severe OSA were 12.5 times greater than the odds of Caucasians. The odds of patients with syndromes or craniofacial anomalies were 11 times greater (p < 0.0001), and the odds of patients in daycare were 2.2 times lower (p = 0.04) of undergoing a PSG before tonsillectomy. Weight did not influence polysomnogram requests. CONCLUSIONS In children under 2 years, ethnicity seems to be a predictor of OSA severity. African-American, prematurity, daycare and Down syndrome patients were significantly more represented in our study population. PSG is more likely to be requested for syndromic children.
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Affiliation(s)
- Valérie Côté
- Department of Otolaryngology, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, United States
| | - Amanda G Ruiz
- Department of Otolaryngology, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, United States
| | - Jonathan Perkins
- Department of Otolaryngology, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, United States
| | - Stefan Sillau
- Colorado School of Public Health, University of Colorado Denver, Aurora, CO, United States
| | - Norman R Friedman
- Department of Otolaryngology, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, United States.
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Dudley KA, Patel SR. Disparities and genetic risk factors in obstructive sleep apnea. Sleep Med 2015; 18:96-102. [PMID: 26428843 DOI: 10.1016/j.sleep.2015.01.015] [Citation(s) in RCA: 103] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2014] [Revised: 11/29/2014] [Accepted: 01/14/2015] [Indexed: 01/02/2023]
Abstract
Obstructive sleep apnea (OSA) is an increasingly prevalent condition. A growing body of literature supports substantial racial disparities in the prevalence, risk factors, presentation, diagnosis, and treatment of this disease. Craniofacial structure among Asians appears to confer an elevated risk of OSA despite lower rates of obesity. Among African Americans, Native Americans, and Hispanics, OSA prevalence is increased, likely due in part to obesity. The burden of symptoms, particularly excessive daytime sleepiness, is higher among African Americans, although Hispanics more often report snoring. Limited data suggest that African Americans may be more susceptible to hypertension in the setting of OSA. While differences in genetic risk factors may explain disparities in OSA burden, no definitive genetic differences have yet been identified. In addition to disparities in OSA development, disparities in OSA diagnosis and treatment have also been identified. Increased severity of disease at diagnosis among African Americans suggests a delay in diagnosis. Treatment outcomes are also suboptimal among African Americans. In children, tonsillectomy is less likely to cure OSA and more commonly associated with complications in this group. Among adults, adherence to continuous positive airway pressure (CPAP) is substantially lower in African Americans. The reasons for these disparities, particularly in outcomes, are not well understood and should be a research priority.
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Affiliation(s)
- Katherine A Dudley
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.
| | - Sanjay R Patel
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
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Kripke DF, Kline LE, Nievergelt CM, Murray SS, Shadan FF, Dawson A, Poceta JS, Cronin J, Jamil SM, Tranah GJ, Loving RT, Grizas AP, Hahn EK. Genetic variants associated with sleep disorders. Sleep Med 2015; 16:217-24. [PMID: 25660813 PMCID: PMC4352103 DOI: 10.1016/j.sleep.2014.11.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 10/30/2014] [Accepted: 11/14/2014] [Indexed: 12/31/2022]
Abstract
OBJECTIVE The diagnostic boundaries of sleep disorders are under considerable debate. The main sleep disorders are partly heritable; therefore, defining heritable pathophysiologic mechanisms could delineate diagnoses and suggest treatment. We collected clinical data and DNA from consenting patients scheduled to undergo clinical polysomnograms, to expand our understanding of the polymorphisms associated with the phenotypes of particular sleep disorders. METHODS Patients at least 21 years of age were recruited to contribute research questionnaires, and to provide access to their medical records, saliva for deoxyribonucleic acid (DNA), and polysomnographic data. From these complex data, 38 partly overlapping phenotypes were derived indicating complaints, subjective and objective sleep timing, and polysomnographic disturbances. A custom chip was used to genotype 768 single-nucleotide polymorphisms (SNPs). Additional assays derived ancestry-informative markers (eg, 751 participants of European ancestry). Linear regressions controlling for age, gender, and ancestry were used to assess the associations of each phenotype with each of the SNPs, highlighting those with Bonferroni-corrected significance. RESULTS In peroxisome proliferator-activated receptor gamma, coactivator 1 beta (PPARGC1B), rs6888451 was associated with several markers of obstructive sleep apnea. In aryl hydrocarbon receptor nuclear translocator-like (ARNTL), rs10766071 was associated with decreased polysomnographic sleep duration. The association of rs3923809 in BTBD9 with periodic limb movements in sleep was confirmed. SNPs in casein kinase 1 delta (CSNK1D rs11552085), cryptochrome 1 (CRY1 rs4964515), and retinoic acid receptor-related orphan receptor A (RORA rs11071547) were less persuasively associated with sleep latency and time of falling asleep. CONCLUSIONS SNPs associated with several sleep phenotypes were suggested, but due to risks of false discovery, independent replications are needed before the importance of these associations can be assessed, followed by investigation of molecular mechanisms.
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Affiliation(s)
- Daniel F Kripke
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
| | | | | | - Sarah S Murray
- Department of Pathology, Center for Advanced Laboratory Medicine, University of California, San Diego, CA, USA
| | - Farhad F Shadan
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Arthur Dawson
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - J Steven Poceta
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - John Cronin
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Shazia M Jamil
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
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