Bimodal Patterns of Locomotor Activity and Sleep in Drosophila: A Model for Their Simulation.

IF 3.4 2区 医学 Q2 CLINICAL NEUROLOGY Nature and Science of Sleep Pub Date : 2025-01-18 eCollection Date: 2025-01-01 DOI:10.2147/NSS.S497563
Arcady A Putilov, Evgeniy G Verevkin, Dmitrii V Petrovskii, Lyudmila P Zakharenko
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Abstract

Purpose: Two previously proposed modelling approaches to explain the bimodal pattern of activity and/or sleep in Drosophila melanogaster are based on 1) the concept of morning and evening oscillators underlying the peaks of activity in the morning and evening, respectively, and 2) the concept of two cycles of buildup and decay of sleep pressure, gated only by the circadian oscillator. Previously, we simulated 24-h alertness-sleepiness curves in humans using a model postulating the circadian modulation of the buildup and decay phases of two (wake and sleep) homeostatic processes. Here, we tested whether a similar model could be applied to simulate the bimodal 24-h rhythm of fly locomotor activity and sleep.

Methods: To obtain typical curves for the simulations, a sample of 4263 individual 24-h curves of locomotor activity and sleep were subjected to principal component analysis. It yielded three principal components, which explained more than 70% of the individual variations in these curves. We calculated the typical curves using scores on the 1st, 2nd, and 3rd principal components and simulated these curves and the sample-averaged curves.

Results: We found that these curves are always characterized by two peaks with varying sizes and timings. They can be fitted by proposing the variation of some of the parameters of the two homeostatic processes reflecting the 24-h rhythmicity of the drive for wake and the 12-h rhythmicity of the drive for sleep.

Conclusion: Postulation of two separate circadian oscillators is not necessary to explain the bimodal curves in Drosophila melanogaster.

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果蝇运动活动和睡眠的双峰模式:它们的模拟模型。
目的:先前提出的两种建模方法用于解释黑腹果蝇活动和/或睡眠的双峰模式,这两种建模方法分别基于1)早晨和晚上活动高峰背后的早晨和晚上振荡的概念,以及2)睡眠压力的两个周期的概念,这两个周期仅由昼夜节律振荡器控制。在此之前,我们用一个模型模拟了人类24小时的清醒-困倦曲线,该模型假设了两个(清醒和睡眠)稳态过程的积累和衰减阶段的昼夜节律调节。在这里,我们测试了类似的模型是否可以应用于模拟苍蝇运动活动和睡眠的双峰24小时节律。方法:对4263例个体运动活动和睡眠24小时曲线进行主成分分析,得到典型的模拟曲线。它产生了三个主成分,它们解释了这些曲线中70%以上的个体变化。我们使用第一、第二和第三主成分的分数计算了典型曲线,并模拟了这些曲线和样本平均曲线。结果:我们发现这些曲线总是有两个不同大小和时间的峰。它们可以通过提出反映唤醒驱动的24小时节律性和睡眠驱动的12小时节律性的两个稳态过程的某些参数的变化来拟合。结论:两个单独的昼夜节律振荡器的假设并不能解释黑腹果蝇的双峰曲线。
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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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