Method for characterization of 24-h temporal variation of blood components.
Method for characterization of 24-h temporal variation of blood components.
复制标题
表征血液成分 24 小时时间变化的方法。
DOI：
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发表时间：
1979
影响因子：
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通讯作者：
E. Van Cauter
中科院分区：
文献类型：
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作者：
E. Van Cauter
本文提出并举例说明了一种专门用于描述24小时内激素和其他血清成分变化的统计方法。这种数据序列的相对较短的长度，以及周期性(如昼夜节律)和非周期性(如周期性变化)分量的共存，禁止使用经典谱方法或基于包括单一周期性的模型的方法。在所提出的方法中，首先根据其纯随机发生的假设来检验所观察到的波动的重要性。然后，周期图计算提供了描述轮廓的低频变化并考虑其可能的不对称性的最合适的理论模式。定义了幅度和峰位相。获得对轮廓的时间依赖性中的低(例如，昼夜节律)和高(例如，超传统)分量的相对贡献的估计，以及关于频率范围和超传统成分的周期性或非周期性的指示。该方法用于观察24小时内血浆促肾上腺皮质激素、皮质醇、促甲状腺激素、催乳素、β-黑素细胞刺激素(β-MSH)和多巴胺-β-羟基酶(DBH)水平。说明了它能够总结剖面的全球时间特性，并提供剖面之间的正常化标准和比较的客观依据。在对照组和抑郁症患者中观察到的胸径轮廓的分析举例说明了与病理相关的改变如何被量化。
A statistical method developed specifically for the characterization of the variations of hormones and other serum constituents over the 24-h span is presented and illustrated. The relatively reduced length of such series of data and the coexistence of periodic (such as circadian rhythm) and nonperiodic (such as episodic variations) components forbid the use of classical spectral methods or of procedures based on models including a single periodicity. In the proposed method, the significance of the observed fluctuations is first tested against the hypothesis of their pure random occurrence. Then, periodogram calculations provide a best-fit theoretical pattern describing the low-frequency variation of the profile and accounting for its possible asymmetries. The amplitude and the acrophase are defined. Estimations of the relative contributions of low (e.g., circadian) and high (e.g., ultradian) components in the time dependence of the profile as well as indications regarding the frequency range and the periodicity or nonperiodicity of ultradian components are obtained. The method is applied to observations over the 24-h span of corticotropin, cortisol, thyrotropin, prolactin, β-melanocyte-stimulating hormone (β-MSH), and dopamine-β-hydroxylase (DBH) levels in plasma. Its ability to summarize the global time properties of the profiles and to provide standards of normalcy as well as objective bases of comparison between profiles is illustrated. The analysis of the profile of DBH observed in control subjects and in depressed patients examplifies how alterations associated with pathology may be quantified.