Genetic contribution to sleep homeostasis in early adolescence

IF 2.7 4区 医学 Q3 NEUROSCIENCES European Journal of Neuroscience Pub Date : 2024-10-10 DOI:10.1111/ejn.16568
Andjela Markovic, Thomas Rusterholz, Peter Achermann, Michael Kaess, Leila Tarokh
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Abstract

The sleep homeostatic process in adults is moderately stable over time and unique to an individual. Work in transgenic mice has suggested a role of genes in sleep homeostasis. The current study quantified the genetic contribution to sleep homeostasis in adolescence. We use slow wave energy (SWE) as a metric for sleep pressure dissipation during sleep. This measure reflects both sleep intensity and duration. High-density (58 derivations) sleep electroencephalogram (EEG) was recorded in 14 monozygotic and 12 dizygotic adolescent twin pairs (mean age = 13.2 years; standard deviation [SD] = 1.1; 20 females). SWE at the end of sleep was quantified as the cumulative delta power (1–4.6 Hz) over the night. We also examined the time constant of the decay and the level of slow wave activity (SWA) at the beginning of the sleep episode. Structural equation modelling was used to quantify the amount of variance in SWE and the dissipation of sleep pressure due to genes. We found that most (mean = 76% across EEG derivations) of the variance in SWE was due to genes. In contrast, genes had a small (mean = 33%) influence on the rate of dissipation of sleep pressure, and this measure was largely (mean = 67%) driven by environmental factors unique to each twin. Our results show that the amount of dissipated sleep pressure is largely under genetic control; however, the rate of sleep pressure dissipation is largely due to unique environmental factors. Our findings are in line with research in animals and suggest that the heritability of the rate of sleep pressure dissipation is limited.

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遗传对青春期早期睡眠平衡的影响
成年人的睡眠平衡过程随着时间的推移而适度稳定,并且对个体而言是独一无二的。转基因小鼠的研究表明,基因在睡眠平衡中起着一定的作用。目前的研究量化了基因对青春期睡眠平衡的影响。我们使用慢波能量(SWE)作为衡量睡眠期间睡眠压力耗散的指标。这一指标同时反映了睡眠强度和持续时间。我们记录了 14 对单卵双生和 12 对双卵双生青少年双胞胎(平均年龄 = 13.2 岁;标准差 [SD] = 1.1;20 名女性)的高密度(58 个衍生物)睡眠脑电图(EEG)。睡眠结束时的 SWE 被量化为整夜的累积三角洲功率(1-4.6 Hz)。我们还研究了衰减的时间常数和睡眠开始时的慢波活动(SWA)水平。我们使用结构方程模型来量化 SWE 的变异量以及基因导致的睡眠压力消散。我们发现,SWE 的大部分变异(平均 = 76%)是由基因造成的。相比之下,基因对睡眠压力耗散率的影响较小(平均 = 33%),这一指标主要(平均 = 67%)由每对双胞胎特有的环境因素驱动。我们的研究结果表明,睡眠压力的消散量在很大程度上受基因控制;然而,睡眠压力的消散率在很大程度上受独特的环境因素影响。我们的研究结果与动物研究结果一致,表明睡眠压力耗散率的遗传性是有限的。
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来源期刊
European Journal of Neuroscience
European Journal of Neuroscience 医学-神经科学
CiteScore
7.10
自引率
5.90%
发文量
305
审稿时长
3.5 months
期刊介绍: EJN is the journal of FENS and supports the international neuroscientific community by publishing original high quality research articles and reviews in all fields of neuroscience. In addition, to engage with issues that are of interest to the science community, we also publish Editorials, Meetings Reports and Neuro-Opinions on topics that are of current interest in the fields of neuroscience research and training in science. We have recently established a series of ‘Profiles of Women in Neuroscience’. Our goal is to provide a vehicle for publications that further the understanding of the structure and function of the nervous system in both health and disease and to provide a vehicle to engage the neuroscience community. As the official journal of FENS, profits from the journal are re-invested in the neuroscientific community through the activities of FENS.
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