Improving melatonin circadian phase estimates
Improving melatonin circadian phase estimates
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DOI：
10.1016/j.sleep.2007.03.012
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发表时间：
2007-09-01
期刊：
影响因子：
4.8
通讯作者：
Nagtegaal, Elsbeth
中科院分区：
文献类型：
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作者：
van Someren, Eus J. W.;Nagtegaal, Elsbeth
睡眠的质量和数量在很大程度上取决于睡眠周期是否与最有利的睡眠昼夜节律时间窗一致。错位会影响睡眠。为了确定该昼夜节律时间窗，褪黑激素分泌的24小时曲线通常被认为提供最佳估计。褪黑激素的分泌只发生在夜间，已经提出了几种方法来确定其开始和抵消标记。尽管从褪黑激素确定昼夜节律相位估计是有用的，但其可行性在某种程度上受到限制，因为所需的重复测量次数对于合规性和实验室测定来说是高成本的。此外，以前提出的一些分析数据和获得相位估计的方法的复杂性可能需要统计学家。我们在这里提出了一组新的函数来更好地描述典型的褪黑激素曲线，该曲线通常在白天具有相当固定的基线水平，其上升和下降的分支的陡度存在差异，并且可能具有夜间平台或甚至两个峰而不是夜间的一个峰。该功能可以很容易地拟合，甚至不完整或嘈杂的褪黑激素的数据，与最常见的统计软件包，和所得到的参数给出了直接的信息所提到的特性，这提供了重要的补充，以完成通常的限制信息的相位和幅度。我们表明，所提出的曲线拟合比单到三谐波余弦曲线的健康受试者（n = 13）和被诊断为睡眠相位延迟综合征（DSPS，n = 27），启动和维持睡眠障碍（DIMS，n = 9），或睡眠投诉没有另行说明（n = 7）的典型褪黑激素配置文件。值得注意的是，因为函数提供了褪黑激素分布的简约描述，所以从它们导出的相位估计更可靠（即，对于噪声和数据丢失是鲁棒的）。我们说明，相位估计偏差平均只有约10分钟的情况下，损失的一些数据点，并在情况下的添加noise.Finally，我们引入了一个稀疏采样时间表量身定制，以捕捉最重要的方面的褪黑激素曲线。结果表明，这样的时间表-减少样本的数量超过50% -结合所提出的功能的结果在可靠的褪黑激素发病阶段的估计，偏离只有约10分钟的估计的基础上24个样本。所提出的方法大大有助于可行性，在成本和分析的可用性，为研究人员和临床医生，包括最可靠的标记的昼夜节律计时系统在他们的诊断和治疗评估。(c)2007 Elsevier B. V.保留所有权利。
The quality and quantity of sleep is to a large extent determined by whether the sleep period is in alignment with the most favorable circadian time window for sleep. Misalignment results in compromised sleep. In order to determine this circadian time window, the 24-h profile of melatonin secretion is generally considered to provide the most optimal estimate. Melatonin secretion occurs only during the night, and several methods to determine its onset and offset markers have been proposed. In spite of the usefulness of determining circadian phase estimates from melatonin, its feasibility is somewhat restricted because the required number of repeated measurements comes at a high cost for compliance and laboratory assays. In addition, the complexity of some of the previously proposed methods to analyze data and obtain phase estimates may require a statistician.We here propose a set of novel functions to better describe the typical melatonin profile, which usually has a rather fixed baseline level during the day has differences in the steepness of its rising and falling limbs, and may have a nocturnal plateau or even two peaks instead of one during the night. The functions can easily be fitted, even to incomplete or noisy melatonin data, with the most common statistical software packages, and the resulting parameters give direct information on the mentioned characteristics, which provide important additions to complete the usual restricted information on phase and amplitude. We show that the proposed curves fit better than single- to three-harmonic cosine curves to the typical melatonin profiles of both healthy subjects (n = 13) and subjects diagnosed with Delayed Sleep Phase Syndrome (DSPS, n = 27), Disorders of Initiating and Maintaining Sleep (DIMS, n = 9), or sleep complaints not otherwise specified (n = 7). Of note, because the functions provide a parsimonious description of the melatonin profile, phase estimates derived from them are more reliable (i.e., robust for noise and data loss). We illustrate that phase estimates deviate on average only by about 10 min in case of the loss of some of the data points and in case of the addition of noise.Finally, we introduce a sparse-sampling schedule tailored to capture the most important aspects of the melatonin curve. It is shown that such schedule - reducing the number of samples by more than 50% - in combination with the proposed functions results in reliable melatonin onset phase estimates, deviating only about 10 min from estimates based on 24 samples. The proposed methods strongly contribute to the feasibility, in terms of both cost and analysis availability, for researchers and clinicians to include the most reliable marker of the circadian timing system in their diagnosis and treatment evaluations. (c) 2007 Elsevier B.V. All rights reserved.