Analysis method and experimental conditions affect computed circadian phase from melatonin data.
Analysis method and experimental conditions affect computed circadian phase from melatonin data.
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DOI：
10.1371/journal.pone.0033836
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Klerman EB
中科院分区：
文献类型：
--
作者：
Klerman H;St Hilaire MA;Kronauer RE;Gooley JJ;Gronfier C;Hull JT;Lockley SW;Santhi N;Wang W;Klerman EB
由于主昼夜节律起搏器对多种生理功能的影响，准确测定昼夜节律相位对于研究和临床目的是必要的。褪黑素是目前人类昼夜节律起搏器活动最准确的标记物。目前分析血浆褪黑激素节律的方法可分为三类：曲线拟合、阈值法和基于生理的线性微分方程。为了确定哪种方法能够最准确地评估昼夜节律阶段，我们比较了从这些方法类别中得出的17种不同褪黑激素阶段标记的数据拟合能力和阶段估计的可变性。我们使用了三种实验条件下的数据，在这些条件下，昼夜节律——因此计算出的褪黑激素阶段——有望保持恒定或均匀进展。老年受试者和褪黑素振幅较低受试者的褪黑素谱不太可能被所有分析方法拟合。当多个研究天的昼夜节律漂移被代数去除时，褪黑激素开始的分析方法之间没有显著差异（P = 0.57），但褪黑激素抵消的分析方法之间存在显著差异（P<0.0001）。对于阶段评估方法的一个子集，我们还通过系统地删除2小时段的数据来检查数据丢失对阶段估计可变性的影响。褪黑激素分泌开始附近的数据丢失对方法的阶段估计有不同的影响，有些方法错误地太早分配阶段，而其他方法则太晚分配阶段；其他时间的数据缺失并不影响对褪黑素特征的分析。我们得出结论，褪黑激素数据集特征，包括数据收集的幅度和完整性，根据所使用的褪黑激素分析方法对结果产生不同的影响。
Accurate determination of circadian phase is necessary for research and clinical purposes because of the influence of the master circadian pacemaker on multiple physiologic functions. Melatonin is presently the most accurate marker of the activity of the human circadian pacemaker. Current methods of analyzing the plasma melatonin rhythm can be grouped into three categories: curve-fitting, threshold-based and physiologically-based linear differential equations. To determine which method provides the most accurate assessment of circadian phase, we compared the ability to fit the data and the variability of phase estimates for seventeen different markers of melatonin phase derived from these methodological categories. We used data from three experimental conditions under which circadian rhythms - and therefore calculated melatonin phase - were expected to remain constant or progress uniformly. Melatonin profiles from older subjects and subjects with lower melatonin amplitude were less likely to be fit by all analysis methods. When circadian drift over multiple study days was algebraically removed, there were no significant differences between analysis methods of melatonin onsets (P = 0.57), but there were significant differences between those of melatonin offsets (P<0.0001). For a subset of phase assessment methods, we also examined the effects of data loss on variability of phase estimates by systematically removing data in 2-hour segments. Data loss near onset of melatonin secretion differentially affected phase estimates from the methods, with some methods incorrectly assigning phases too early while other methods assigning phases too late; missing data at other times did not affect analyses of the melatonin profile. We conclude that melatonin data set characteristics, including amplitude and completeness of data collection, differentially affect the results depending on the melatonin analysis method used.
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DOI：
10.1152/ajpendo.1997.272.3.e506
发表时间：
1997-03-01
影响因子：
5.1
作者：
Brown, EN;Choe, Y;Czeisler, CA
通讯作者：
Czeisler, CA
影响因子：
2.5
作者：
DEACON, S;ARENDT, J
通讯作者：
ARENDT, J
影响因子：
4.8
作者：
van Someren, Eus J. W.;Nagtegaal, Elsbeth
通讯作者：
Nagtegaal, Elsbeth
影响因子：
1.7
作者：
Zeitzer, JM;Ayas, NT;Brown, R
通讯作者：
Brown, R
影响因子：
5.5
作者：
Dijk, DJ;Duffy, JF;Czeisler, CA
通讯作者：
Czeisler, CA