{"title":"多种过敏性鼻炎单核苷酸多态性变异与阻塞性睡眠呼吸暂停男性的睡眠呼吸参数有关:一项大规模研究","authors":"Qiying Zeng, Wenjun Xue, Zhicheng Wei, Hangdong Shen, Huajun Xu, Huaming Zhu, Jian Guan, Hongliang Yi, Yunhai Feng, Xinyi Li, Haibo Ye","doi":"10.2147/nss.s456995","DOIUrl":null,"url":null,"abstract":"<strong>Background:</strong> Sleep-disordered breathing is more prevalent in individuals with allergic rhinitis (AR) than in those without AR. In addition to increased risk for sleep-disordered breathing, AR is associated with greater severity of obstructive sleep apnea (OSA) symptoms. The aim of this research study was to evaluate the association of multiple single nucleotide polymorphism (SNP) variations in AR with sleep- and breathing-related parameters in men with OSA.<br/><strong>Methods:</strong> Men who had complained of snoring were consecutively enrolled in the Shanghai Sleep Health Study of Shanghai Sixth People’s Hospital from 2007 to 2018. After rigorous screening, 5322 men were included in the analysis. Anthropometric, fasting biochemical, and polysomnographic parameters, along with 27 AR-associated SNPs were analyzed. The associations between AR-related genetic polymorphisms and OSA were determined via linear, binary, and multinomial logistic regression analyses.<br/><strong>Results:</strong> Rs12509403 had significantly positive associations with most sleep-breathing parameters. While the risk for OSA was increased by rs12509403, it was decreased by rs7717955 [odds ratio (OR) = 1.341, 95% confidence interval [CI] = 1.039– 1.732, P = 0.024; OR = 0.829, 95% CI = 0.715– 0.961, P = 0.013, respectively]. A graded increase in the risk of being in the highest quartile (Q4) vs the reference category (Q1) for sleep breathing indicators, especially REM-AHI and NREM-AHI, was identified by rs12509403 (OR = 1.496, 95% CI = 1.175– 1.904, P = 0.001; OR = 1.471, 95% CI = 1.151– 1.879, P < 0.001, respectively).<br/><strong>Conclusion:</strong> The association of multiple AR SNPs with OSA-related hypoxia and sleep indices provides a genetic explanation for the higher AR susceptibility of OSA patients. Understanding the AR-related genetic underpinnings of OSA may lead to more personalized treatment approaches.<br/><br/>","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple Allergic Rhinitis Single Nucleotide Polymorphism Variants are Associated with Sleep-Breathing Parameters in Men with Obstructive Sleep Apnea: A Large-Scale Study\",\"authors\":\"Qiying Zeng, Wenjun Xue, Zhicheng Wei, Hangdong Shen, Huajun Xu, Huaming Zhu, Jian Guan, Hongliang Yi, Yunhai Feng, Xinyi Li, Haibo Ye\",\"doi\":\"10.2147/nss.s456995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background:</strong> Sleep-disordered breathing is more prevalent in individuals with allergic rhinitis (AR) than in those without AR. In addition to increased risk for sleep-disordered breathing, AR is associated with greater severity of obstructive sleep apnea (OSA) symptoms. The aim of this research study was to evaluate the association of multiple single nucleotide polymorphism (SNP) variations in AR with sleep- and breathing-related parameters in men with OSA.<br/><strong>Methods:</strong> Men who had complained of snoring were consecutively enrolled in the Shanghai Sleep Health Study of Shanghai Sixth People’s Hospital from 2007 to 2018. After rigorous screening, 5322 men were included in the analysis. Anthropometric, fasting biochemical, and polysomnographic parameters, along with 27 AR-associated SNPs were analyzed. The associations between AR-related genetic polymorphisms and OSA were determined via linear, binary, and multinomial logistic regression analyses.<br/><strong>Results:</strong> Rs12509403 had significantly positive associations with most sleep-breathing parameters. While the risk for OSA was increased by rs12509403, it was decreased by rs7717955 [odds ratio (OR) = 1.341, 95% confidence interval [CI] = 1.039– 1.732, P = 0.024; OR = 0.829, 95% CI = 0.715– 0.961, P = 0.013, respectively]. A graded increase in the risk of being in the highest quartile (Q4) vs the reference category (Q1) for sleep breathing indicators, especially REM-AHI and NREM-AHI, was identified by rs12509403 (OR = 1.496, 95% CI = 1.175– 1.904, P = 0.001; OR = 1.471, 95% CI = 1.151– 1.879, P < 0.001, respectively).<br/><strong>Conclusion:</strong> The association of multiple AR SNPs with OSA-related hypoxia and sleep indices provides a genetic explanation for the higher AR susceptibility of OSA patients. Understanding the AR-related genetic underpinnings of OSA may lead to more personalized treatment approaches.<br/><br/>\",\"PeriodicalId\":18896,\"journal\":{\"name\":\"Nature and Science of Sleep\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature and Science of Sleep\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/nss.s456995\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/nss.s456995","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:患有过敏性鼻炎(AR)的人比没有过敏性鼻炎的人更容易出现睡眠呼吸障碍。除了增加睡眠呼吸障碍的风险外,过敏性鼻炎还与阻塞性睡眠呼吸暂停(OSA)症状的严重程度有关。本研究的目的是评估AR的多个单核苷酸多态性(SNP)变异与OSA男性患者的睡眠和呼吸相关参数的关联:2007年至2018年,上海市第六人民医院连续入组了上海市睡眠健康研究中主诉打鼾的男性。经过严格筛选,5322 名男性被纳入分析。研究人员分析了人体测量、空腹生化指标和多导睡眠图参数,以及27个与AR相关的SNPs。通过线性、二元和多项式逻辑回归分析确定了AR相关基因多态性与OSA之间的关联:结果:Rs12509403与大多数睡眠呼吸参数呈显著正相关。虽然rs12509403会增加OSA的风险,但rs7717955会降低OSA的风险[几率比(OR)=1.341,95%置信区间[CI]=1.039-1.732,P=0.024;OR=0.829,95%CI=0.715-0.961,P=0.013]。rs12509403发现,睡眠呼吸指标(尤其是REM-AHI和NREM-AHI)处于最高四分位数(Q4)与参考类别(Q1)的风险分级增加(OR = 1.496,95% CI = 1.175- 1.904,P = 0.001;OR = 1.471,95% CI = 1.151- 1.879,P <0.001):多个AR SNP与OSA相关缺氧和睡眠指数的关联为OSA患者较高的AR易感性提供了遗传学解释。了解OSA与AR相关的遗传基础可能会带来更个性化的治疗方法。
Multiple Allergic Rhinitis Single Nucleotide Polymorphism Variants are Associated with Sleep-Breathing Parameters in Men with Obstructive Sleep Apnea: A Large-Scale Study
Background: Sleep-disordered breathing is more prevalent in individuals with allergic rhinitis (AR) than in those without AR. In addition to increased risk for sleep-disordered breathing, AR is associated with greater severity of obstructive sleep apnea (OSA) symptoms. The aim of this research study was to evaluate the association of multiple single nucleotide polymorphism (SNP) variations in AR with sleep- and breathing-related parameters in men with OSA. Methods: Men who had complained of snoring were consecutively enrolled in the Shanghai Sleep Health Study of Shanghai Sixth People’s Hospital from 2007 to 2018. After rigorous screening, 5322 men were included in the analysis. Anthropometric, fasting biochemical, and polysomnographic parameters, along with 27 AR-associated SNPs were analyzed. The associations between AR-related genetic polymorphisms and OSA were determined via linear, binary, and multinomial logistic regression analyses. Results: Rs12509403 had significantly positive associations with most sleep-breathing parameters. While the risk for OSA was increased by rs12509403, it was decreased by rs7717955 [odds ratio (OR) = 1.341, 95% confidence interval [CI] = 1.039– 1.732, P = 0.024; OR = 0.829, 95% CI = 0.715– 0.961, P = 0.013, respectively]. A graded increase in the risk of being in the highest quartile (Q4) vs the reference category (Q1) for sleep breathing indicators, especially REM-AHI and NREM-AHI, was identified by rs12509403 (OR = 1.496, 95% CI = 1.175– 1.904, P = 0.001; OR = 1.471, 95% CI = 1.151– 1.879, P < 0.001, respectively). Conclusion: The association of multiple AR SNPs with OSA-related hypoxia and sleep indices provides a genetic explanation for the higher AR susceptibility of OSA patients. Understanding the AR-related genetic underpinnings of OSA may lead to more personalized treatment approaches.
期刊介绍:
Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep.
Specific topics covered in the journal include:
The functions of sleep in humans and other animals
Physiological and neurophysiological changes with sleep
The genetics of sleep and sleep differences
The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness
Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness
Sleep changes with development and with age
Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause)
The science and nature of dreams
Sleep disorders
Impact of sleep and sleep disorders on health, daytime function and quality of life
Sleep problems secondary to clinical disorders
Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health)
The microbiome and sleep
Chronotherapy
Impact of circadian rhythms on sleep, physiology, cognition and health
Mechanisms controlling circadian rhythms, centrally and peripherally
Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health
Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption
Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms
Epigenetic markers of sleep or circadian disruption.