1
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Ko J, Lim JH, Kim DB, Joo MJ, Jang YS, Park EC, Shin J. Association between alcohol use disorder and risk of obstructive sleep apnea. J Sleep Res 2024; 33:e14128. [PMID: 38112217 DOI: 10.1111/jsr.14128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/28/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023]
Abstract
Obstructive sleep apnea (OSA) is a common sleep disorder characterised by recurrent upper airway collapse during sleep. Alcohol consumption has been linked to an increased risk of OSA due to its effects on the upper airway and body mass index (BMI). We aimed to investigate the correlation between alcohol use disorders and OSA. We used 11,859 participants data from Korean National Health and Nutrition Examination Surveys. The variable of interest was alcohol use disorder, measured using the Alcohol Use Disorders Identification Test, and the dependent variable was the risk of OSA, measured using the Snoring, Tiredness, Observed apnea, high blood Pressure, BMI, age, neck circumference, and male gender questionnaires. Multiple logistic regression was used to assess the association between alcohol use disorder and OSA risk after adjusted analysis. A significant association was found between alcohol use disorder and OSA (adjusted odds ratio [aOR] 2.14, 95% confidence interval [CI] 1.93-2.37). In the unemployed group, those with alcohol use disorder had the highest odds of being at risk of OSA compared with those who did not have this disorder (aOR 2.45, 95% CI 2.04-2.95). The OSA risk increased as the snoring frequency, amount of alcohol consumed, and frequency of binge drinking increased. This study suggests an association between alcohol use disorders and the risk of OSA. The frequency of alcohol consumption, quantity of alcohol consumed, and snoring frequency were associated with the risk of OSA. Therefore, ceasing alcohol consumption is recommended as an effective approach to enhancing sleep quality.
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Affiliation(s)
- Jisu Ko
- Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
| | - Jae Hyeok Lim
- Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
| | - Dan Bi Kim
- Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
| | - Min Jeong Joo
- Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
| | - Yun Seo Jang
- Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
| | - Eun-Cheol Park
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jaeyong Shin
- Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Policy Analysis and Management, College of Human Ecology, Cornell University, Ithaca, New York, USA
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2
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Yayan J, Rasche K. A Systematic Review of Risk factors for Sleep Apnea. Prev Med Rep 2024; 42:102750. [PMID: 38741931 PMCID: PMC11089396 DOI: 10.1016/j.pmedr.2024.102750] [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: 01/23/2024] [Revised: 04/14/2024] [Accepted: 05/02/2024] [Indexed: 05/16/2024] Open
Abstract
Background Sleep apnea, a prevalent global health issue, is characterized by repeated interruptions in breathing during sleep. This systematic review aggregates global data to outline a comprehensive analysis of its associated risk factors. Purpose The systematic review underscores the global prevalence of sleep apnea and the universal importance of its early detection and management by delineating key risk factors contributing to its development. Material and Methods We conducted a thorough systematic review of international medical databases up to July 31, 2023, including PubMed, Medline, and Cochrane Library, to ensure a wide-ranging collection of data reflective of various populations. Results The systematic review identifies several risk factors such as obesity, age, gender, neck circumference, family history, smoking, alcohol use, underlying medical conditions, and nasal congestion, highlighting their prevalence across diverse demographics globally. Conclusion Emphasizing lifestyle modifications and proactive interventions, our findings advocate for global health strategies to mitigate the risk of sleep apnea and enhance sleep health worldwide.
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Affiliation(s)
- Josef Yayan
- Department of Internal Medicine, Division of Pulmonary, Allergy, and Sleep Medicine, HELIOS Clinic Wuppertal, Witten/Herdecke University, Witten, Germany
| | - Kurt Rasche
- Department of Internal Medicine, Division of Pulmonary, Allergy, and Sleep Medicine, HELIOS Clinic Wuppertal, Witten/Herdecke University, Witten, Germany
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3
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Menezes-Júnior LAAD, Sabião TDS, Moura SSD, Batista AP, Menezes MCD, Carraro JCC, Machado-Coelho GLL, Meireles AL. The role of interaction between vitamin D and VDR FokI gene polymorphism (rs2228570) in sleep quality of adults. Sci Rep 2024; 14:8141. [PMID: 38584183 PMCID: PMC10999418 DOI: 10.1038/s41598-024-58561-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 04/01/2024] [Indexed: 04/09/2024] Open
Abstract
To evaluate association of vitamin D with sleep quality in adults and the influence of VDR-gene polymorphism FokI (rs2228570;A > G). Cross-sectional population-based study in adults, conducted in Brazil. The outcome was sleep-quality, evaluated by the Pittsburgh Sleep Quality Index. Vitamin D was determined by indirect electrochemiluminescence and classified as deficiency (VDD), 25(OH)D < 20 ng/mL in a healthy population or 25(OH)D < 30 ng/mL for groups at risk for VDD. FokI polymorphism in the VDR-gene was genotyped by qPCR and classified as homozygous wild (FF or AA), heterozygous (Ff or AG), or homozygous mutant (ff or GG). Multivariate logistic analysis was used to estimate the association between vitamin D and FokI polymorphism with sleep-quality. In a total of 1674 individuals evaluated, 53.6% had poor-sleep-quality, 31.5% had VDD, and the genotype frequency of the FokI polymorphism was 9.9% FF, 44.6% Ff, and 45.5% ff. In multivariate analysis, individuals with VDD had 1.51 times the chance of poor-sleep-quality, and individuals with the ff genotype had 1.49 times the chance of poor-sleep-quality (OR:1.49;95%CI:1.05-2.12) when compared to individuals with the FF or Ff genotype. In the combined analysis, individuals with VDD and ff genotype had more chance of poor-sleep-quality than individuals with sufficient vitamin D and genotype Ff or FF (OR:2.19;95%CI:1.27-3.76). Our data suggest that VDD and VDR FokI gene polymorphism are associated with poor-sleep-quality, and combining the two factors increases the chance of poor-sleep-quality compared to separate groups.
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Affiliation(s)
- Luiz Antônio Alves de Menezes-Júnior
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, R. Diogo de Vasconcelos, 122, Ouro Preto, MG, Brazil.
- Research and Study Group On Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil.
- Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, MG, Brazil.
| | - Thais da Silva Sabião
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, R. Diogo de Vasconcelos, 122, Ouro Preto, MG, Brazil
- Research and Study Group On Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil
| | - Samara Silva de Moura
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, R. Diogo de Vasconcelos, 122, Ouro Preto, MG, Brazil
- Research and Study Group On Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil
| | - Aline Priscila Batista
- Postgraduate Programs in Biological Sciences, Institute of Biological Sciences, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
- School of Medicine, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
| | - Mariana Carvalho de Menezes
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, R. Diogo de Vasconcelos, 122, Ouro Preto, MG, Brazil
- Research and Study Group On Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil
- Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
| | - Júlia Cristina Cardoso Carraro
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, R. Diogo de Vasconcelos, 122, Ouro Preto, MG, Brazil
- Research and Study Group On Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil
- Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
| | - George Luiz Lins Machado-Coelho
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, R. Diogo de Vasconcelos, 122, Ouro Preto, MG, Brazil
- Postgraduate Programs in Biological Sciences, Institute of Biological Sciences, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
- School of Medicine, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
| | - Adriana Lúcia Meireles
- Postgraduate Program in Health and Nutrition, School of Nutrition, Federal University of Ouro Preto, R. Diogo de Vasconcelos, 122, Ouro Preto, MG, Brazil
- Research and Study Group On Nutrition and Public Health (GPENSC), Federal University of Ouro Preto, Ouro Preto, Brazil
- Department of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
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4
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Adami LNG, Moysés-Oliveira M, Souza-Cunha LA, Vasco MB, Tufik S, Andersen ML. Lipid metabolism and neuromuscular junction as common pathways underlying the genetic basis of erectile dysfunction and obstructive sleep apnea. Int J Impot Res 2023:10.1038/s41443-023-00795-1. [PMID: 37990110 DOI: 10.1038/s41443-023-00795-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 10/18/2023] [Accepted: 11/06/2023] [Indexed: 11/23/2023]
Abstract
Erectile dysfunction (ED) incidence is higher in patients with obstructive sleep apnea (OSA). Studies have suggested that ED and OSA may activate similar pathways; however, few have investigated the links between their underlying genotypic profiles. Therefore, we conducted an in-silico analysis to test whether ED and OSA share genetic variants of risk and to identify any molecular, cellular and biological interactions between them. Two gene lists were manually curated through a literature review based on a PUBMED search, which resulted in one gene list associated with ED (total of 205 genes) and the other with OSA (total of 2622 genes). Between those gene sets, 35 were common for both lists (Fisher exact test, p-value = 0.027). The Protein-protein interaction (PPI) analysis using the intersect list as input showed that 3 of them had direct interactions (LPL, DGKB and PLCB1). In addition, the biological function of the genes contained in the intersect list suggested that pathways related to lipid metabolism and the neuromuscular junction were commonly found in the genetic basis of ED and OSA. From the shared genes between both conditions, the biological pathways highlighted in this study may serve as preliminary findings for future functional investigations on OSA and ED association.
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Affiliation(s)
- Luana N G Adami
- Sleep Institute, São Paulo, Brazil
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | | | | | - Matheus Brandão Vasco
- Departamento de Cirurgia, Disciplina de Urologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Sergio Tufik
- Sleep Institute, São Paulo, Brazil
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Monica L Andersen
- Sleep Institute, São Paulo, Brazil.
- Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
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5
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Sofer T, Kurniansyah N, Murray M, Ho YL, Abner E, Esko T, Huffman JE, Cho K, Wilson PWF, Gottlieb DJ. Genome-wide association study of obstructive sleep apnoea in the Million Veteran Program uncovers genetic heterogeneity by sex. EBioMedicine 2023; 90:104536. [PMID: 36989840 PMCID: PMC10065974 DOI: 10.1016/j.ebiom.2023.104536] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/07/2023] [Accepted: 03/08/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) for obstructive sleep apnoea (OSA) are limited due to the underdiagnosis of OSA, leading to misclassification of OSA, which consequently reduces statistical power. We performed a GWAS of OSA in the Million Veteran Program (MVP) of the U.S. Department of Veterans Affairs (VA) healthcare system, where OSA prevalence is close to its true population prevalence. METHODS We performed GWAS of 568,576 MVP participants, stratified by biological sex and by harmonized race/ethnicity and genetic ancestry (HARE) groups of White, Black, Hispanic, and Asian individuals. We considered both BMI adjusted (BMI-adj) and unadjusted (BMI-unadj) models. We replicated associations in independent datasets, and analysed the heterogeneity of OSA genetic associations across HARE and sex groups. We finally performed a larger meta-analysis GWAS of MVP, FinnGen, and the MGB Biobank, totalling 916,696 individuals. FINDINGS MVP participants are 91% male. OSA prevalence is 21%. In MVP there were 18 and 6 genome-wide significant loci in BMI-unadj and BMI-adj analyses, respectively, corresponding to 21 association regions. Of these, 17 were not previously reported in association with OSA, and 13 replicated in FinnGen (False Discovery Rate p-value < 0.05). There were widespread significant differences in genetic effects between men and women, but less so across HARE groups. Meta-analysis of MVP, FinnGen, and MGB biobank revealed 17 additional, previously unreported, genome-wide significant regions. INTERPRETATION Sex differences in genetic associations with OSA are widespread, likely associated with multiple OSA risk factors. OSA shares genetic underpinnings with several sleep phenotypes, suggesting shared aetiology and causal pathways. FUNDING Described in acknowledgements.
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Affiliation(s)
- Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael Murray
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA
| | - Erik Abner
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jennifer E Huffman
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA; VA Palo Alto Health Care System, Palo Alto, CA, USA; Palo Alto Veterans Institute for Research, Palo Alto, CA, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA; Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Massachusetts Veterans Epidemiology Research and Information Center, VA Healthcare System, Boston, MA, USA
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6
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Xu H, Liu F, Li Z, Li X, Liu Y, Li N, Zhang X, Gao Z, Zhang X, Liu Y, Zou J, Meng L, Liu S, Zhu H, Tang X, Wu H, Su K, Chen B, Yu D, Ye H, Chen H, Yi H, Yin S, Guan J, Shi Y. Genome-Wide Association Study of Obstructive Sleep Apnea and Objective Sleep-related Traits Identifies Novel Risk Loci in Han Chinese Individuals. Am J Respir Crit Care Med 2022; 206:1534-1545. [PMID: 35819321 DOI: 10.1164/rccm.202109-2044oc] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Rationale: Previous genetic studies of obstructive sleep apnea (OSA) have limitations in terms of precise case definition, integrated quantitative traits, and interpretation of genetic functions; thus, the heritability of OSA remains poorly explained. Objectives: To identify novel genetic variants associated with OSA and objective sleep-related traits and to explore their functional roles. Methods: A genome-wide association study was performed in 20,590 Han Chinese individuals (5,438 OSA and 15,152 control samples). Human samples and point mutation knockin mice were used for follow-up investigation of gene functions. Measurements and Main Results: Two characteristic study-wide significant loci (P < 2.63 × 10-9) for OSA were identified: the PACRG intronic variant rs6455893 on 6q26 (odds ratio [OR] = 1.62; 95% confidence interval [CI], 1.39-1.89; P = 6.98 × 10-10) and the missense variant rs3746804 (p.Pro267Leu) in the riboflavin transporter SLC52A3 on 20p13 (OR = 0.83; 95% CI, 0.79-0.88; P = 7.57 × 10-10). In addition, 18 genome-wide significant loci associated with quantitative OSA and objective sleep-related traits were identified, 5 of which exceeded the study-wide significance threshold. Rs3746804 was associated with elevated serum riboflavin concentrations, and the corresponding mutation in mice increased riboflavin concentrations, suggesting that this variant may facilitate riboflavin uptake and riboflavin-dependent physiological activity. Conclusions: We identified several novel genome-wide significant loci associated with OSA and objective sleep-related traits. Our findings provide insight into the genetic architecture of OSA and suggest that SLC52A3 might be a therapeutic target, whereas riboflavin might be a therapeutic agent.
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Affiliation(s)
- Huajun Xu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Feng Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Zhiqiang Li
- The Affiliated Hospital of Qingdao University & the Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, China; and.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, and
| | - Xinyi Li
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yuenan Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Niannian Li
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoxu Zhang
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Zhenfei Gao
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoman Zhang
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yupu Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Jianyin Zou
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Lili Meng
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Suru Liu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Huaming Zhu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xulan Tang
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Hongmin Wu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Kaiming Su
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Bin Chen
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Dongzhen Yu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Haibo Ye
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Haoyan Chen
- State Key Laboratory for Oncogenes and Related Genes, Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hongliang Yi
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Shankai Yin
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Jian Guan
- Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yongyong Shi
- The Affiliated Hospital of Qingdao University & the Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, China; and.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, and
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7
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Yang S, Guo X, Liu W, Li Y, Liu Y. Alcohol as an independent risk factor for obstructive sleep apnea. Ir J Med Sci 2022; 191:1325-1330. [PMID: 34110582 PMCID: PMC9135842 DOI: 10.1007/s11845-021-02671-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 05/28/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND To determine if alcohol consumption is a risk factor for obstructive sleep apnea (OSA) and nocturnal oxygen desaturation. METHODS This case-control study evaluated patients with confirmed OSA and a control group using polysomnography (PSG). Two doctors who have worked in this field for more than 5 years provided a blinded interpretation of the patients' monitoring results. Logistic regression models were used to identify the odds ratio (OR) for alcohol consumption on OSA. RESULTS A total of 793 patients were enrolled in this study. Compared with those who did not consume alcohol, those consuming alcohol had a higher risk of OSA (OR 2.03, 95% CI 1.30-3.17) after adjustment. Regarding the risk of OSA after adjusting for former drinkers and current ones, the ORs were 1.96 (95% CI 1.19-3.22) and 2.22 (95% CI 1.06-4.63), respectively. And the P for trend = 0.002. The β of former drinkers and the current ones were 3.448 and 4.560 after adjustment; P for trend was 0.006. The relationship may have gender difference, and alcohol consumption was associated with AHI in female significantly (β = 10.190 and 15.395 for former and current drinkers, respectively, in females after adjustment, P for trend = 0.002). CONCLUSIONS In this study, we found that alcohol consumption was an independent risk factor of OSA and OSA with hypoxia, and alcohol consumption was related to AHI significantly after adjustment, especially in female. In order to reduce the risk and severity of OSA, it is suggested that people should avoid drinking, and drinkers should abstain from drinking.
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Affiliation(s)
- Shanshan Yang
- Department of Disease Prevention and Control, Chinese PLA General Hospital, The 1st Medical Center, Beijing, 100853, China
| | - Xinhong Guo
- Department of Cardiology, Chinese PLA General Hospital, The 1st Medical Center, Beijing, 1000853, China
| | - Wei Liu
- Chinese PLA General Hospital, Hospital Management Institute, Beijing, China
| | - Yanhua Li
- Department of Cardiology, Chinese PLA General Hospital, The 1st Medical Center, Beijing, 1000853, China.
| | - Yunxi Liu
- Department of Disease Prevention and Control, Chinese PLA General Hospital, The 1st Medical Center, Beijing, 100853, China.
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8
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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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9
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Cade BE, Lee J, Sofer T, Wang H, Zhang M, Chen H, Gharib SA, Gottlieb DJ, Guo X, Lane JM, Liang J, Lin X, Mei H, Patel SR, Purcell SM, Saxena R, Shah NA, Evans DS, Hanis CL, Hillman DR, Mukherjee S, Palmer LJ, Stone KL, Tranah GJ, Abecasis GR, Boerwinkle EA, Correa A, Cupples LA, Kaplan RC, Nickerson DA, North KE, Psaty BM, Rotter JI, Rich SS, Tracy RP, Vasan RS, Wilson JG, Zhu X, Redline S. Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. Genome Med 2021; 13:136. [PMID: 34446064 PMCID: PMC8394596 DOI: 10.1186/s13073-021-00917-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/28/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing. METHODS The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap. RESULTS We identified a multi-ethnic set-based rare-variant association (p = 3.48 × 10-8) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways. CONCLUSIONS We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.
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Affiliation(s)
- Brian E. Cade
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Jiwon Lee
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA
| | - Tamar Sofer
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA
| | - Heming Wang
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Man Zhang
- grid.411024.20000 0001 2175 4264Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201 USA
| | - Han Chen
- grid.267308.80000 0000 9206 2401Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA ,grid.267308.80000 0000 9206 2401Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA
| | - Sina A. Gharib
- grid.34477.330000000122986657Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA 98195 USA
| | - Daniel J. Gottlieb
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.410370.10000 0004 4657 1992VA Boston Healthcare System, Boston, MA 02132 USA
| | - Xiuqing Guo
- grid.239844.00000 0001 0157 6501The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Jacqueline M. Lane
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Jingjing Liang
- grid.67105.350000 0001 2164 3847Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Xihong Lin
- grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA
| | - Hao Mei
- grid.410721.10000 0004 1937 0407Department of Data Science, University of Mississippi Medical Center, Jackson, MS 29216 USA
| | - Sanjay R. Patel
- grid.21925.3d0000 0004 1936 9000Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213 USA
| | - Shaun M. Purcell
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA
| | - Richa Saxena
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.66859.34Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142 USA ,grid.32224.350000 0004 0386 9924Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Neomi A. Shah
- grid.59734.3c0000 0001 0670 2351Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA
| | - Daniel S. Evans
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | - Craig L. Hanis
- grid.267308.80000 0000 9206 2401Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA
| | - David R. Hillman
- grid.3521.50000 0004 0437 5942Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia 6009 Australia
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia Australia ,grid.1014.40000 0004 0367 2697Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia Australia
| | - Lyle J. Palmer
- grid.1010.00000 0004 1936 7304School of Public Health, University of Adelaide, Adelaide, South Australia 5000 Australia
| | - Katie L. Stone
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | - Gregory J. Tranah
- grid.17866.3e0000000098234542California Pacific Medical Center Research Institute, San Francisco, CA 94107 USA
| | | | - Gonçalo R. Abecasis
- grid.214458.e0000000086837370Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109 USA
| | - Eric A. Boerwinkle
- grid.267308.80000 0000 9206 2401Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030 USA ,grid.39382.330000 0001 2160 926XHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030 USA
| | - Adolfo Correa
- grid.410721.10000 0004 1937 0407Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216 USA ,Jackson Heart Study, Jackson, MS 39216 USA
| | - L. Adrienne Cupples
- grid.189504.10000 0004 1936 7558Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118 USA ,grid.510954.c0000 0004 0444 3861Framingham Heart Study, Framingham, MA 01702 USA
| | - Robert C. Kaplan
- grid.251993.50000000121791997Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, 10461 USA
| | - Deborah A. Nickerson
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington, Seattle, WA 98195 USA ,grid.34477.330000000122986657Northwest Genomics Center, Seattle, WA 98105 USA
| | - Kari E. North
- grid.410711.20000 0001 1034 1720Department of Epidemiology and Carolina Center of Genome Sciences, University of North Carolina, Chapel Hill, NC 27514 USA
| | - Bruce M. Psaty
- grid.34477.330000000122986657Cardiovascular Health Study, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA 98101 USA ,grid.488833.c0000 0004 0615 7519Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101 USA
| | - Jerome I. Rotter
- grid.239844.00000 0001 0157 6501The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502 USA
| | - Stephen S. Rich
- grid.27755.320000 0000 9136 933XCenter for Public Health Genomics, University of Virginia, Charlottesville, VA 22908 USA
| | - Russell P. Tracy
- grid.59062.380000 0004 1936 7689Department of Pathology, University of Vermont, Colchester, VT 05405 USA
| | - Ramachandran S. Vasan
- grid.510954.c0000 0004 0444 3861Framingham Heart Study, Framingham, MA 01702 USA ,grid.189504.10000 0004 1936 7558Sections of Preventive Medicine and Epidemiology and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118 USA ,grid.189504.10000 0004 1936 7558Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - James G. Wilson
- grid.410721.10000 0004 1937 0407Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216 USA
| | - Xiaofeng Zhu
- grid.67105.350000 0001 2164 3847Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106 USA
| | - Susan Redline
- grid.38142.3c000000041936754XDivision of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115 USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA 02115 USA ,grid.239395.70000 0000 9011 8547Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215 USA
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10
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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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11
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Blevins BL, Vinters HV, Love S, Wilcock DM, Grinberg LT, Schneider JA, Kalaria RN, Katsumata Y, Gold BT, Wang DJJ, Ma SJ, Shade LMP, Fardo DW, Hartz AMS, Jicha GA, Nelson KB, Magaki SD, Schmitt FA, Teylan MA, Ighodaro ET, Phe P, Abner EL, Cykowski MD, Van Eldik LJ, Nelson PT. Brain arteriolosclerosis. Acta Neuropathol 2021; 141:1-24. [PMID: 33098484 PMCID: PMC8503820 DOI: 10.1007/s00401-020-02235-6] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 10/04/2020] [Accepted: 10/05/2020] [Indexed: 12/14/2022]
Abstract
Brain arteriolosclerosis (B-ASC), characterized by pathologic arteriolar wall thickening, is a common finding at autopsy in aged persons and is associated with cognitive impairment. Hypertension and diabetes are widely recognized as risk factors for B-ASC. Recent research indicates other and more complex risk factors and pathogenetic mechanisms. Here, we describe aspects of the unique architecture of brain arterioles, histomorphologic features of B-ASC, relevant neuroimaging findings, epidemiology and association with aging, established genetic risk factors, and the co-occurrence of B-ASC with other neuropathologic conditions such as Alzheimer's disease and limbic-predominant age-related TDP-43 encephalopathy (LATE). There may also be complex physiologic interactions between metabolic syndrome (e.g., hypertension and inflammation) and brain arteriolar pathology. Although there is no universally applied diagnostic methodology, several classification schemes and neuroimaging techniques are used to diagnose and categorize cerebral small vessel disease pathologies that include B-ASC, microinfarcts, microbleeds, lacunar infarcts, and cerebral amyloid angiopathy (CAA). In clinical-pathologic studies that factored in comorbid diseases, B-ASC was independently associated with impairments of global cognition, episodic memory, working memory, and perceptual speed, and has been linked to autonomic dysfunction and motor symptoms including parkinsonism. We conclude by discussing critical knowledge gaps related to B-ASC and suggest that there are probably subcategories of B-ASC that differ in pathogenesis. Observed in over 80% of autopsied individuals beyond 80 years of age, B-ASC is a complex and under-studied contributor to neurologic disability.
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Affiliation(s)
- Brittney L Blevins
- Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Harry V Vinters
- Department of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA
| | - Seth Love
- University of Bristol and Southmead Hospital, Bristol, BS10 5NB, UK
| | - Donna M Wilcock
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Lea T Grinberg
- Department of Neurology and Pathology, UCSF, San Francisco, CA, USA
- Global Brain Health Institute, UCSF, San Francisco, CA, USA
- LIM-22, Department of Pathology, University of Sao Paulo Medical School, São Paulo, Brazil
| | - Julie A Schneider
- Departments of Neurology and Pathology, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Rajesh N Kalaria
- Translational and Clinical Research Institute, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, NE4 5PL, UK
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - Brian T Gold
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Danny J J Wang
- Laboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Samantha J Ma
- Laboratory of FMRI Technology (LOFT), USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Lincoln M P Shade
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, Department of Biostatistics, University Kentucky, Lexington, KY, 40536, USA
| | - Anika M S Hartz
- Sanders-Brown Center on Aging, Department of Pharmacology and Nutritional Sciences, University Kentucky, Lexington, KY, 40536, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA
| | | | - Shino D Magaki
- Department of Pathology and Laboratory Medicine, David Geffen SOM at UCLA and Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095-1732, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, Department of Neurology, University Kentucky, Lexington, KY, 40536, USA
| | - Merilee A Teylan
- Department of Epidemiology, University Washington, Seattle, WA, 98105, USA
| | | | - Panhavuth Phe
- Sanders-Brown Center on Aging, University Kentucky, Lexington, KY, 40536, USA
| | - Erin L Abner
- Sanders-Brown Center on Aging, Department of Epidemiology, University Kentucky, Lexington, KY, 40536, USA
| | - Matthew D Cykowski
- Departments of Pathology and Genomic Medicine and Neurology, Houston Methodist Hospital, Houston, TX, 77030, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, Department of Neuroscience, University Kentucky, Lexington, KY, 40536, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, Department of Pathology, University of Kentucky, Lexington, KY, 40536, USA.
- Rm 311 Sanders-Brown Center on Aging, University of Kentucky, 800 S. Limestone Avenue, Lexington, KY, 40536, USA.
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12
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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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13
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Baril AA, Gagnon K, Descoteaux M, Bedetti C, Chami S, Sanchez E, Montplaisir J, De Beaumont L, Gilbert D, Poirier J, Pelleieux S, Osorio RS, Carrier J, Gosselin N. Cerebral white matter diffusion properties and free-water with obstructive sleep apnea severity in older adults. Hum Brain Mapp 2020; 41:2686-2701. [PMID: 32166865 PMCID: PMC7294053 DOI: 10.1002/hbm.24971] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 01/25/2020] [Accepted: 02/16/2020] [Indexed: 12/13/2022] Open
Abstract
Characterizing the effects of obstructive sleep apnea (OSA) on the aging brain could be key in our understanding of neurodegeneration in this population. Our objective was to assess white matter properties in newly diagnosed and untreated adults with mild to severe OSA. Sixty‐five adults aged 55 to 85 were recruited and divided into three groups: control (apnea‐hypopnea index ≤5/hr; n = 18; 65.2 ± 7.2 years old), mild (>5 to ≤15 hr; n = 27; 64.2 ± 5.3 years old) and moderate to severe OSA (>15/hr; n = 20; 65.2 ± 5.5 years old). Diffusion tensor imaging metrics (fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity, and mean diffusivity) were compared between groups with Tract‐Based Spatial Statistics within the white matter skeleton created by the technique. Groups were also compared for white matter hyperintensities volume and the free‐water (FW) fraction. Compared with controls, mild OSA participants showed widespread areas of lower diffusivity (p < .05 corrected) and lower FW fraction (p < .05). Participants with moderate to severe OSA showed lower AD in the corpus callosum compared with controls (p < .05 corrected). No between‐group differences were observed for FA or white matter hyperintensities. Lower white matter diffusivity metrics is especially marked in mild OSA, suggesting that even the milder form may lead to detrimental outcomes. In moderate to severe OSA, competing pathological responses might have led to partial normalization of diffusion metrics.
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Affiliation(s)
- Andrée-Ann Baril
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada.,Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada.,The Framingham Heart Study, Boston University School of Medicine, Boston, Massachussetts
| | - Katia Gagnon
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada.,Department of Psychology, Université du Québec à Montréal, Montréal, Québec, Canada.,Research Centre, Hôpital Rivière-des-Prairies, Montréal, Québec, Canada.,Department of Psychology, Université de Montréal, Montréal, Québec, Canada
| | - Maxime Descoteaux
- Research Centre, Centre hospitalier universitaire de Sherbrooke, Sherbrooke, Québec, Canada.,Computer Science Department, Faculty of Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Christophe Bedetti
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada.,Research Centre, Institut universitaire de gériatrie de Montréal, Montréal, Québec, Canada
| | - Sirin Chami
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada.,Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Erlan Sanchez
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada.,Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Jacques Montplaisir
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada.,Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Louis De Beaumont
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada.,Faculty of Medicine, Université de Montréal, Montréal, Québec, Canada
| | - Danielle Gilbert
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada
| | - Judes Poirier
- Centre for Studies on Prevention of Alzheimer's disease, Douglas Institute, Verdun, Québec, Canada.,Department of Psychiatry and Medicine, McGill University, Montréal, Québec, Canada
| | - Sandra Pelleieux
- Centre for Studies on Prevention of Alzheimer's disease, Douglas Institute, Verdun, Québec, Canada.,Department of Psychiatry and Medicine, McGill University, Montréal, Québec, Canada
| | - Ricardo S Osorio
- Department of Psychiatry, Center for Brain Health, NYU Langone Medical Center, New York, New York, USA
| | - Julie Carrier
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada.,Research Centre, Institut universitaire de gériatrie de Montréal, Montréal, Québec, Canada.,Department of Psychology, Université de Montréal, Montréal, Québec, Canada
| | - Nadia Gosselin
- Research Centre, Hôpital du Sacré-Coeur de Montréal, Montréal, Québec, Canada.,Department of Psychology, Université de Montréal, Montréal, Québec, Canada
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14
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Obstructive sleep apnea syndrome and causal relationship with female breast cancer: a mendelian randomization study. Aging (Albany NY) 2020; 12:4082-4092. [PMID: 32112550 PMCID: PMC7093176 DOI: 10.18632/aging.102725] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 01/02/2020] [Indexed: 12/14/2022]
Abstract
Although observational studies have reported a positive association between obstructive sleep apnea syndrome (OSAS) and breast cancer (BC) risk, causality remains inconclusive. We aim to explore whether OSAS is associated with etiology of BC by conducting a two-sample Mendelian randomization (MR) study in a Chinese population and Asian population from the Breast Cancer Association Consortium (BCAC). We found a detrimental causal effect of OSAS on BC risk in the primary analysis of our samples (IVW OR, 2.47 for BC risk per log-odds increment in OSAS risk, 95% CI = 1.86-3.27; P = 3.6×10-10). This was very similar to results of the direct observational case-control study between OSAS and BC risk (OR = 2.80; 95% CI = 2.24-3.50; P =1.4×10-19). Replication in the Asian population of the BCAC study also supported our results (IVW OR, 1.33 for BC risk per log-odds increment in OSAS risk, 95% CI = 1.13-1.56; P = 0.0006). Sensitivity analyses confirmed the robustness of our findings. We provide novel evidence that genetically determined higher risk of OSAS has a causal effect on higher risk of BC. Further studies focused on the mechanisms of the relationship between OSAS and breast carcinogenesis are needed.
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15
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Genome-wide association study reveals two novel risk alleles for incident obstructive sleep apnea in the EPISONO cohort. Sleep Med 2020; 66:24-32. [DOI: 10.1016/j.sleep.2019.08.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 08/02/2019] [Accepted: 08/07/2019] [Indexed: 01/25/2023]
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16
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Dumortier L, Bricout VA. Obstructive sleep apnea syndrome in adults with down syndrome: Causes and consequences. Is it a "chicken and egg" question? Neurosci Biobehav Rev 2020; 108:124-138. [DOI: 10.1016/j.neubiorev.2019.10.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/11/2019] [Accepted: 10/26/2019] [Indexed: 12/31/2022]
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17
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Chokesuwattanaskul A, Lertjitbanjong P, Thongprayoon C, Bathini T, Sharma K, Mao MA, Cheungpasitporn W, Chokesuwattanaskul R. Impact of obstructive sleep apnea on silent cerebral small vessel disease: a systematic review and meta-analysis. Sleep Med 2019; 68:80-88. [PMID: 32028230 DOI: 10.1016/j.sleep.2019.11.1262] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 10/28/2019] [Accepted: 11/27/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) is a well-known cause of vascular dementia, a leading medical morbidity in the aging population. Obstructive sleep apnea (OSA) has been validated as a cardiovascular risk factor. However, the relationship between these two clinical syndromes is not well established. We aimed to assess the association between OSA and CSVD. METHODS Databases were searched from inception through May 2019. Studies that reported incidence or odd ratios of CSVD in patients with OSA were included. Effect estimates from the individual studies were extracted and combined using random-effect, generic inverse variance method of DerSimonian and Laird. RESULTS A total of 14 observational studies comprising of 4335 patients were included into the analysis. Compared to patients without OSA, patients with OSA were significantly associated with CSVD magnetic resonance imaging (MRI) findings of white matter hyperintensity (WMH) and asymptomatic lacunar infarction (ALI) with a pooled OR of 2.31 (95% confidence interval [CI], 1.46-3.66, I2 = 79%) and 1.78 (95% CI, 1.06-3.01, I2 = 41%), respectively. However, there was no significant association between OSA and findings of cerebral microbleeds (CMBs), with a pooled odds ratio (OR) of 2.15 (95% CI, 0.64-7.29, I2 = 55%). CONCLUSIONS Our study demonstrated the association between OSA and CSVD MRI findings of white matter hyperintensity (WMH) and asymptomatic lacunar infarction (ALI) when compared to patients without OSA. The absence of an association of CMBs findings with OSA could be due either by a lower sensitivity of neuroimaging techniques utilized to detect CMBs or a potentially different pathogenesis of CMBs.
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Affiliation(s)
- Anthipa Chokesuwattanaskul
- Division of Neurology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand; King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.
| | | | | | - Tarun Bathini
- Department of Internal Medicine, University of Arizona, Tucson, AZ, USA
| | - Konika Sharma
- Department of Internal Medicine, Bassett Medical Center, Cooperstown, NY, USA
| | - Michael A Mao
- Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, 32224, USA
| | | | - Ronpichai Chokesuwattanaskul
- King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand; Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand
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18
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Ward SA, Pase MP. Advances in pathophysiology and neuroimaging: Implications for sleep and dementia. Respirology 2019; 25:580-592. [DOI: 10.1111/resp.13728] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 09/02/2019] [Accepted: 10/16/2019] [Indexed: 12/14/2022]
Affiliation(s)
- Stephanie A. Ward
- School of Public Health and Preventive MedicineMonash University Melbourne VIC Australia
- Department of Geriatric MedicinePrince of Wales Hospital Sydney NSW Australia
- Centre for Healthy Brain Ageing (CHeBA), School of PsychiatryUniversity of New South Wales Sydney NSW Australia
| | - Matthew P. Pase
- Melbourne Dementia Research CentreThe Florey Institute of Neuroscience and Mental Health Melbourne VIC Australia
- Faculty of Medicine, Dentistry and Health ScienceThe University of Melbourne Melbourne VIC Australia
- Centre for Human PsychopharmacologySwinburne University of Technology Melbourne VIC Australia
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19
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Huang Y, Yang C, Yuan R, Liu M, Hao Z. Association of obstructive sleep apnea and cerebral small vessel disease: a systematic review and meta-analysis. Sleep 2019; 43:5614282. [PMID: 31696917 DOI: 10.1093/sleep/zsz264] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 08/30/2019] [Indexed: 02/07/2023] Open
Abstract
Abstract
Study Objectives
The objective of the present study was to investigate the association between obstructive sleep apnea (OSA) and the presence of various neuroimaging marker of cerebral small vessel disease (CSVD).
Methods
We systematically searched PubMed, Embase, Web of Science, Scopus, and Cochrane library (from inception to May 2019) for studies evaluating the association between OSA and CSVD, which included white matter hyperintensities (WMH), silent brain infarction (SBI), cerebral microbleeds (CMBs), and perivascular spaces (PVS). Pooled odds ratios (ORs) with 95% confidence interval (CIs) were estimated using random-effects meta-analysis.
Results
After screening 7290 publications, 20 studies were finally included involving 6036 subjects. The sample size ranged from 27 to 1763 (median 158, interquartile range: 67–393). The meta-analysis showed that moderate to severe OSA was positively associated with WMH (13 studies, n = 4412, OR = 2.23, 95% CI = 1.53 to 3.25, I2 = 80.3%) and SBI (12 studies, n = 3353, OR 1.54, 95% CI = 1.06 to 2.23, I2 = 52%). There was no association with CMBs (three studies, n = 342, OR = 2.17, 95% CI = 0.61 to 7.73, I2 = 60.2%) or PVS (two studies, n = 267, OR = 1.56, 95% CI = 0.28 to 8.57, I2 = 69.5%). There was no relationship between mild OSA and CSVD.
Conclusion
Current evidence suggests that moderate to severe sleep apnea is positively related to WMH and SBI, but not CMBs or PVS, which suggests that OSA may contribute to the pathogenesis of CSVD. Further large cohort studies should be prioritized to confirm the findings.
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Affiliation(s)
- Yuhong Huang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chunsong Yang
- Department of Pharmacy, Evidence-Based Pharmacy Center, West China Second Hospital, Sichuan University, Chengdu, Sichuan China
| | - Ruozhen Yuan
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ming Liu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zilong Hao
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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20
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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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21
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Kim JW, Lim HJ. Lifestyle Modification in Patients with Obstructive Sleep Apnea. SLEEP MEDICINE RESEARCH 2018. [DOI: 10.17241/smr.2018.00255] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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22
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Khurana S, Sharda S, Saha B, Kumar S, Guleria R, Bose S. Canvassing the aetiology, prognosis and molecular signatures of obstructive sleep apnoea. Biomarkers 2018; 24:1-16. [DOI: 10.1080/1354750x.2018.1514655] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Sartaj Khurana
- Amity Institute of Biotechnology, Amity University, Noida, India
| | - Shivani Sharda
- Amity Institute of Biotechnology, Amity University, Noida, India
| | - Biswajit Saha
- Amity Institute of Biotechnology, Amity University, Noida, India
| | - Sachin Kumar
- Department of Medical Oncology, IRCH, AIIMS, New Delhi, India
| | - Randeep Guleria
- Department of Pulmonary Medicine and Sleep Disorders, AIIMS, New Delhi, India
| | - Sudeep Bose
- Amity Institute of Biotechnology, Amity University, Noida, India
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23
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Baik I, Lee S, Thomas RJ, Shin C. Obstructive sleep apnea, low transferrin saturation levels, and male-pattern baldness. Int J Dermatol 2018; 58:67-74. [PMID: 30144036 DOI: 10.1111/ijd.14193] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2018] [Revised: 07/16/2018] [Accepted: 08/01/2018] [Indexed: 11/26/2022]
Abstract
BACKGROUND There are limited data on the association between obstructive sleep apnea (OSA), which is characterized by intermittent hypoxia, and male-pattern baldness (MPB). Low blood iron levels are reportedly associated with hypoxia and hair loss. This study explored a possible link among OSA, iron status, and MPB. METHODS Polysomnography (PSG) and hair assessments were conducted in a cross-sectional study including 932 men aged 46-76 years. OSA was defined as an apnea-hypopnea index ≥5 by PSG evaluation and MPB as scales from IV to VII according to the Norwood-Hamilton scale classification. Serum transferrin saturation (TSA) levels were assessed. RESULTS A total of 224 men (24%) were identified as MPB cases and 495 men (53%) as having OSA. After considering potential risk factors, OSA and other sleep-related variables were not associated with MPB. In joint analysis of OSA and family history of hair loss, men with these two factors showed a sevenfold higher multivariate odds ratio (95% confidence interval: 3.70, 12.56) for MPB than those without both of them (P < 0.05 for the interaction between OSA and family history of hair loss). TSA levels were significantly associated with MPB and OSA. OSA cases without MPB as well as MPB cases showed lower TSA levels than those with neither OSA nor MPB (P < 0.05). CONCLUSIONS These findings suggest that OSA may be a risk factor for MPB in men who have a family history of hair loss and that low serum TSA levels associated with hypoxia may be involved in a pathway linking OSA and MPB.
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Affiliation(s)
- Inkyung Baik
- Department of Foods and Nutrition, College of Science and Technology, Kookmin University, Seoul, Korea
| | - SeungKu Lee
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Korea
| | - Robert J Thomas
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Chol Shin
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Korea.,Division of Pulmonary, Sleep and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
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24
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Taveira KVM, Kuntze MM, Berretta F, de Souza BDM, Godolfim LR, Demathe T, De Luca Canto G, Porporatti AL. Association between obstructive sleep apnea and alcohol, caffeine and tobacco: A meta-analysis. J Oral Rehabil 2018; 45:890-902. [DOI: 10.1111/joor.12686] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 06/30/2018] [Indexed: 10/28/2022]
Affiliation(s)
| | | | | | | | | | | | - Graziela De Luca Canto
- Department of Dentistry; Brazilian Centre for Evidence-based Research; Federal University of Santa Catarina; Florianópolis Brazil
| | - André Luís Porporatti
- Department of Dentistry; Brazilian Centre for Evidence-based Research; Federal University of Santa Catarina; Florianópolis Brazil
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25
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Obstructive sleep apnea and cerebral white matter change: a systematic review and meta-analysis. J Neurol 2018; 265:1643-1653. [PMID: 29766271 DOI: 10.1007/s00415-018-8895-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 05/02/2018] [Accepted: 05/04/2018] [Indexed: 01/23/2023]
Abstract
Obstructive sleep apnea (OSA) can cause sleep fragmentation and intermittent hypoxemia, which are linked to oxidative stress. White matter changes (WMCs) representing cerebrovascular burden and are at risk factor for oxidative ischemic injury. The current study explores the mutual relationships between OSA and WMCs. We performed a systematic review of electronic databases for clinical studies investigating OSA and WMCs. Random-effects models were used for pooled estimates calculation. A total of 22 studies were included in the meta-analysis. The results revealed a significantly higher prevalence rate of WMCs [odds ratio (OR) 2.06, 95% confidence interval (CI) 1.52-2.80, p < 0.001] and significantly higher severity of WMCs (Hedges' g = 0.23, 95% CI 0.06-0.40, p = 0.009) in the patients with OSA than in controls. Furthermore, the results revealed a significantly higher apnea-hypopnea index (Hedges' g = 0.54, 95% CI 0.31-0.78, p < 0.001) and significantly higher prevalence rate of moderate-to-severe OSA (OR 2.86, 95% CI 1.44-5.66, p = 0.003) in the patients with WMCs than in controls, however there was no significant difference in the prevalence rate of mild OSA between the patients with WMCs and controls (OR 0.71, 95% CI 0.20-2.54, p = 0.603). OSA was associated with a higher prevalence and more severe WMCs, and the patients with WMCs had an increased association with moderate-to-severe OSA. Future large-scale randomized controlled trials with a longitudinal design are essential to further evaluate treatment in patients with OSA.
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26
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Kim J, Keenan BT, Lim DC, Lee SK, Pack AI, Shin C. Symptom-Based Subgroups of Koreans With Obstructive Sleep Apnea. J Clin Sleep Med 2018; 14:437-443. [PMID: 29510793 DOI: 10.5664/jcsm.6994] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Accepted: 12/05/2017] [Indexed: 02/03/2023]
Abstract
STUDY OBJECTIVES Recently, the Icelandic Sleep Apnea Cohort (ISAC) identified three subgroups in patients with obstructive sleep apnea (OSA) recruited from the sleep clinic based on clinical symptoms and comorbidities: excessively sleepy, minimally symptomatic, and disturbed sleep. This study sought to determine whether the three OSA subgroups are applicable to a population-based cohort in Korea. METHODS Study subjects are participants of an ongoing cohort study in Korea. Of the 2,918 participants, 422 new moderate to severe OSA cases (apneahypopnea index [AHI] ≥ 15 events/h) were diagnosed by home sleep studies. All participants completed a detailed questionnaire on sleep-related symptoms, comorbidities, medication, and other information. A latent class analysis was performed. RESULTS When examining solutions for up to 10 clusters, the a priori three-cluster solution was the optimal clustering solution. The three-cluster solution demonstrated a subgroup presentation similar to the clusters identified in the ISAC. The minimally symptomatic subgroup was most prevalent (55.7%) in the Korean cohort. Among the three subgroups, there were no differences in mean AHI and body mass index; however, the disturbed sleep subgroup was older and had more females. CONCLUSIONS Combined with the ISAC data, we suggest that the three-symptom cluster solution for patients with OSA may be more widely applicable, irrespective of ethnicity and study population.
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Affiliation(s)
- Jinyoung Kim
- University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.,Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Brendan T Keenan
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Diane C Lim
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, Pennsylvania.,Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Medicine, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Seung Ku Lee
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Korea
| | - Allan I Pack
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, Pennsylvania.,Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Chol Shin
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Korea.,School of Medicine, Korea University, Seoul, Korea
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27
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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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28
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Simou E, Britton J, Leonardi-Bee J. Alcohol and the risk of sleep apnoea: a systematic review and meta-analysis. Sleep Med 2018; 42:38-46. [PMID: 29458744 PMCID: PMC5840512 DOI: 10.1016/j.sleep.2017.12.005] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 12/13/2017] [Accepted: 12/20/2017] [Indexed: 01/02/2023]
Abstract
Objective A systematic review and meta-analysis of the association between alcohol consumption and risk of sleep apnoea in adults. Methods We searched Medline, EMBASE and Web of Science databases from 1985 to 2015 for comparative epidemiological studies assessing the relation between alcohol consumption and sleep apnoea. Two authors independently screened and extracted data. Random effects meta-analysis was used to estimate pooled effect sizes with 95% confidence intervals (CI). Heterogeneity was quantified using I2 and explored using subgroup analyses based on study exposure and outcome measures, quality, design, adjustment for confounders and geographical location. Publication bias was assessed using a funnel plot and Egger's test. Results We identified 21 studies from which estimates of relative risk could be obtained. Meta-analysis of these estimates demonstrated that higher levels of alcohol consumption increased the risk of sleep apnoea by 25% (RR 1.25, 95%CI 1.13–1.38, I2 = 82%, p < 0.0001). This estimate's differences were robust in alcohol consumption and sleep apnoea definitions, study design, and quality but was greater in Low and Middle Income Country locations. We detected evidence of publication bias (p = 0.001). A further eight included studies reported average alcohol consumption in people with and without sleep apnoea. Meta-analysis revealed that mean alcohol intake was two units/week higher in those with sleep apnoea, but this difference was not statistically significant (p = 0.41). Conclusion These findings suggest that alcohol consumption is associated with a higher risk of sleep apnoea, further supporting evidence that reducing alcohol intake is of potential therapeutic and preventive value in this condition. Alcohol consumption increased the risk of sleep apnoea by 25%. Findings were robust to differences in definitions of alcohol consumption and sleep apnoea. Association appeared stronger low and middle income countries. Timing and regularity of alcohol consumption likely to be important to its effect on OSA. Recommend advising against alcohol in people with, or at risk of, OSA.
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Affiliation(s)
- Evangelia Simou
- UK Centre for Tobacco and Alcohol Studies, Division of Epidemiology and Public Health, University of Nottingham, Hucknall Road, Nottingham NG5 1PB, UK.
| | - John Britton
- UK Centre for Tobacco and Alcohol Studies, Division of Epidemiology and Public Health, University of Nottingham, Hucknall Road, Nottingham NG5 1PB, UK.
| | - Jo Leonardi-Bee
- UK Centre for Tobacco and Alcohol Studies, Division of Epidemiology and Public Health, University of Nottingham, Hucknall Road, Nottingham NG5 1PB, UK.
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29
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Ferguson MS, Magill JC, Kotecha BT. Narrative review of contemporary treatment options in the care of patients with obstructive sleep apnoea. Ther Adv Respir Dis 2017; 11:411-423. [PMID: 29059008 DOI: 10.1177/1753465817736263] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Snoring and obstructive sleep apnoea (OSA) are increasingly common conditions, and confer a significant health and socioeconomic burden. Furthermore, untreated OSA represents a significant mortality risk. Patients require careful assessment, including detailed clinical history and examination, sleep study and drug-induced sleep endoscopy (DISE). Although nasal continuous positive airway pressure (nCPAP) is the gold standard treatment for moderate and severe OSA, multidisciplinary team assessment is often required to develop the best treatment plan for an individual, especially when nasal CPAP is poorly tolerated. There is a wide range of medical and surgical treatment options, and following appropriate patient selection and assessment, a focused site-specific, often multilevel, intervention is indicated. There is an increasing body of evidence in the literature supporting these multilevel interventions and with agreement on standardized outcome measures more trials are likely to improve the robustness of these data further.
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Affiliation(s)
- Mark S Ferguson
- Department of Otolaryngology, Royal National Throat, Nose & Ear Hospital, London, UK
| | | | - Bhik T Kotecha
- Department of Otolaryngology, Royal National Throat, Nose & Ear Hospital, 330 Grays Inn Road, London WC1X 8DA, UK
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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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Kim H, Shin C, Baik I. Associations between Lifestyle Factors and Iron Overload in Korean Adults. Clin Nutr Res 2016; 5:270-278. [PMID: 27812516 PMCID: PMC5093224 DOI: 10.7762/cnr.2016.5.4.270] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 10/20/2016] [Accepted: 10/25/2016] [Indexed: 01/04/2023] Open
Abstract
It has been suggested that iron overload, which indicates the accumulation of iron, generates cellular reactive oxygens and causes peroxide damages to the body. Such oxidative stresses, in a broader context, are also caused by lifestyles such as alcohol consumption and smoking. However, there are limited data on the association between these lifestyle factors and internal iron overload. In present study, we evaluated associations between lifestyle factors, such as smoking status, alcohol consumption, and physical activity, and serum markers of iron overload. In a population-based cross-sectional study including 2,347 Korean men and women aged 49–79 years, we assessed serum transferrin saturation (TSAT) levels and defined iron overload as TSAT levels > 50% for men and > 45% for women. After excluding persons with chronic diseases and iron deficiency, multivariate odds ratio (OR) and its 95% confidence interval (CI) were estimated to evaluate associations between lifestyle factors and iron overload in 1,973 participants. In all participants, we examined a significantly positive association between heavy alcohol consumption (> 30 g/day) and iron overload; heavy drinkers showed 1.6-fold higher OR (95% CI, 1.11–2.36) than non-drinkers. Stratified analysis by sex showed that this association was significant only among men. In addition, we observed a potential association between heavy smoking > 10 cigarettes/day and iron overload (p = 0.07). In stratified analysis by sex, we examined a significant association between smoking and iron overload only among women; former or current smokers had 1.9-fold higher OR (95% CI, 1.01–3.63) than never-smoker. Our findings suggest that heavy alcohol consumption and smoking may worsen iron accumulation in the body.
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Affiliation(s)
- Hyungjo Kim
- Department of Foods and Nutrition, Kookmin University, College of Natural Sciences, Seoul 02707, Korea
| | - Chol Shin
- Department of Internal Medicine, Korea University Ansan Hospital, Ansan 15355, Korea
| | - Inkyung Baik
- Department of Foods and Nutrition, Kookmin University, College of Natural Sciences, Seoul 02707, Korea
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32
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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: 89] [Impact Index Per Article: 11.1] [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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