Telemonitored Human Circadian Temperature Dynamics During Daily Routine.
Telemonitored Human Circadian Temperature Dynamics During Daily Routine.
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DOI：
10.3389/fphys.2021.659973
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发表时间：
2021
影响因子：
4
通讯作者：
Lévi FA
中科院分区：
文献类型：
--
作者：
Huang Q;Komarzynski S;Bolborea M;Finkenstädt B;Lévi FA
体温的昼夜节律协调外周分子钟，因此它们可能预测个体患者的最佳治疗时间（时间疗法）。通过使用可穿戴传感器远程和真实的时间记录胸表体温（Chesttemp）的昼夜节律参数。本文分析了38名男性和50名女性（年龄21-78岁）胸部温度和核心体温（Coretemp）昼夜节律振荡的动态及其随性别和年龄的调节作用。在两项研究（ST 1和ST 2）中，每分钟测量一次胸部温度，并使用BLE连接的传感器进行远程传输，持续3.6-28.3天。此外，在ST 2中，在33名年龄和性别分层的受试者中每分钟记录Coretemp，这些受试者使用具有射频传输的电子可摄入药丸。昼夜节律参数计算使用频谱分析和余弦建模。Chesttemp和Coretemp余弦参数之间的时间关系进行了总结与主成分分析（PC）。通过多元回归分析性别和年龄的影响。使用频谱分析，24或12小时的主导期被确定在93.2%的Chesttemp和100%的Coretemp时间序列。昼夜节律参数在受试者之间变化很大，包括胸部温度（范围：中位，33.2-36.6°C;振幅，0.2-2.5°C;顶相，14：05-7：40）和核心温度（中位，36.6-37.5°C;振幅，0.2-0.7°C;深相，23：50-6：50）。较高的PC负荷主要对应于（i）大的Chesttemp振幅，以及第一个PC的两个温度节律的相位提前（PC 1，方差的27.2%），(ii)PC 2在两种温度节律中均表现出较高的中温（22.4%变化），和（iii）大的Coretemp幅度为PC 3（12.9%变异）。Chesttemp和Coretemp的mesors和PC 2负载下降的女性，而男性作为年龄的函数保持相当稳定。相比之下，女性的Coretemp振幅和PC 3负荷随着年龄的增长而增加，但男性的Coretemp振幅和PC 3负荷随着年龄的增长而增加，但男性的Coretemp振幅和PC 3负荷随着年龄的增长而减少。最后，老年受试者，女性和男性，表现出减少ultradian变异，增加Chesttemp昼夜节律振幅和PC 1负荷。Chesttemp和Coretemp节律之间的动力学关系在很大程度上受年龄和性别的调节，结果表明，治疗时机可能是女性和有序人群治疗指数的最关键因素。
Circadian rhythms in body temperature coordinate peripheral molecular clocks, hence they could potentially predict optimal treatment timing (chronotherapy) in individual patients. Circadian parameters in chest surface body temperature (Chesttemp) were recorded remotely and in real time through the use of wearable sensors. The dynamics of circadian oscillations in Chesttemp and core body temperature (Coretemp) and their moderation by sex and age were analysed in 38 men and 50 women, aged 21–78 years. In two studies (ST1 and ST2), Chesttemp was measured every minute and teletransmitted using a BLE-connected sensor for 3.6–28.3 days. Additionally, in ST2, Coretemp was recorded per minute in 33 age- and sex-stratified subjects using electronic ingestible pills with radio-frequency transmissions. Circadian parameters were computed using spectral analysis and cosinor modelling. The temporal relations between Chesttemp and Coretemp cosinor parameters were summarised with principal component (PC) analysis. The effect of sex and age was analysed through multivariate regression. Using spectral analysis, a dominant period of 24- or 12-h was identified in 93.2% of the Chesttemp and in 100% of the Coretemp time series. The circadian parameters varied largely between-subjects both for Chesttemp (ranges: mesors, 33.2–36.6°C; amplitudes, 0.2–2.5°C; acrophases, 14:05–7:40), and Coretemp (mesors, 36.6–37.5°C; amplitudes, 0.2–0.7°C; bathyphases, 23:50–6:50). Higher PC loadings mainly corresponded to (i) large Chesttemp amplitudes, and phase advance of both temperature rhythms for the first PC (PC1, 27.2% of variance var.), (ii) high mesors in both temperature rhythms for PC2 (22.4% var.), and (iii) large Coretemp amplitudes for PC3 (12.9% var.). Chesttemp and Coretemp mesors and PC2 loadings decreased in females, while remaining quite stable in males as a function of age. In contrast, Coretemp amplitude and PC3 loadings increased with age in females, but decreased in males. Finally, older subjects, both female and male, displayed a reduction in ultradian variabilities, and an increase in both Chesttemp circadian amplitude and PC1 loadings. The dynamics relations between Chesttemp and Coretemp rhythms were largely moderated by age and sex, with results suggesting that treatment timing could be most critical for therapeutic index in women and in order people.
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DOI：
10.1098/rsif.2017.0885
发表时间：
2018-03
期刊：
Journal of the Royal Society, Interface
影响因子：
--
作者：
Huang Q;Cohen D;Komarzynski S;Li XM;Innominato P;Lévi F;Finkenstädt B
通讯作者：
Finkenstädt B
影响因子：
5.2
作者：
Levi, Francis;Komarzynski, Sandra;Innominato, Pasquale
通讯作者：
Innominato, Pasquale
DOI：
10.1073/pnas.1010666108
发表时间：
2011-09-13
影响因子：
11.1
作者：
Duffy, Jeanne F.;Cain, Sean W.;Czeisler, Charles A.
通讯作者：
Czeisler, Charles A.
影响因子：
4
作者：
Eggenberger, Patrick;MacRae, Braid A.;Annaheim, Simon
通讯作者：
Annaheim, Simon
影响因子：
50.5
作者：
Giacchetti, S.;Dugue, P. A.;Levi, F.
通讯作者：
Levi, F.