Bidirectional causal associations between frailty measures and sleep disturbances: a two-sample Mendelian randomization study.

IF 3.4 2区 医学 Q2 CLINICAL NEUROLOGY Nature and Science of Sleep Pub Date : 2025-02-07 eCollection Date: 2025-01-01 DOI:10.2147/NSS.S497173
Lu Che, Han Zang, Yaodan Bi, Bei Wen, Li Xu
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Abstract

Background: Observational studies have demonstrated a strong association between sleep disturbances and frailty. However, the causality remains inconclusive. We aimed to investigate the bidirectional causal relationships between frailty measures and sleep disturbances employing a two-sample Mendelian randomization (MR) analysis.

Methods: Two-sample MR analyses were performed based on large-scale genome-wide association studies (GWAS) of the European population for frailty index (FI) (N = 175,226), Fried Frailty Score (FFS) (N = 386,565), insomnia (N = 283,595), sleep duration (N = 445,966) and sleep apnea (N = 523,366). We conducted the causal estimates using the inverse variance-weighted method (IVW), with sensitivity analyses using MR-Egger, weighted median, weighted mode, and MR pleiotropy residual sum and outlier (MR-PRESSO) analysis. Cochran's Q test was performed to assess heterogeneity.

Results: We found that genetically predicted FI was associated with shorter sleep duration and sleep apnea. The genetically predicted FFS was associated with insomnia, shorter sleep duration, and sleep apnea. In the reverse direction analysis, genetic liability to insomnia, short sleep duration, and long sleep duration were associated with an increase in FI. Genetic liability to short sleep duration and long sleep duration were associated with an increase in FFS.

Conclusion: Our study provided genetic evidence supporting the bidirectional causality between frailty measures and sleep disturbances. The findings contribute to the prevention and management of frailty and sleep disturbances.

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虚弱测量和睡眠障碍之间的双向因果关系:一项双样本孟德尔随机化研究。
背景:观察性研究已经证明睡眠障碍和身体虚弱之间有很强的联系。然而,因果关系仍然没有定论。我们的目的是通过双样本孟德尔随机化(MR)分析来研究虚弱测量和睡眠障碍之间的双向因果关系。方法:基于欧洲人群的大规模全基因组关联研究(GWAS),对衰弱指数(FI) (N = 175,226)、Fried衰弱评分(FFS) (N = 386,565)、失眠(N = 283,595)、睡眠持续时间(N = 445,966)和睡眠呼吸暂停(N = 523,366)进行双样本MR分析。我们使用反方差加权法(IVW)进行因果估计,并使用MR- egger、加权中位数、加权模式和MR多效性残差和异常值(MR- presso)分析进行敏感性分析。采用Cochran’s Q检验评估异质性。结果:我们发现基因预测的FI与较短的睡眠时间和睡眠呼吸暂停有关。基因预测的FFS与失眠、睡眠时间缩短和睡眠呼吸暂停有关。在反向分析中,失眠的遗传易感性、短睡眠时间和长睡眠时间与FI的增加有关。短睡眠时间和长睡眠时间的遗传倾向与FFS的增加有关。结论:我们的研究提供了遗传证据,支持虚弱测量和睡眠障碍之间的双向因果关系。这些发现有助于预防和管理虚弱和睡眠障碍。
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来源期刊
Nature and Science of Sleep
Nature and Science of Sleep Neuroscience-Behavioral Neuroscience
CiteScore
5.70
自引率
5.90%
发文量
245
审稿时长
16 weeks
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.
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