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预测日常节律时钟医学应用中个体昼夜节律相位。

Predictability of individual circadian phase during daily routine for medical applications of circadian clocks.

机构信息

Medical School, Warwick University, Coventry, United Kingdom.

INSERM-Warwick European Associated Laboratory, INSERM U935, Villejuif, France.

出版信息

JCI Insight. 2019 Sep 19;4(18):130423. doi: 10.1172/jci.insight.130423.

Abstract

BACKGROUNDCircadian timing of treatments can largely improve tolerability and efficacy in patients. Thus, drug metabolism and cell cycle are controlled by molecular clocks in each cell and coordinated by the core body temperature 24-hour rhythm, which is generated by the hypothalamic pacemaker. Individual circadian phase is currently estimated with questionnaire-based chronotype, center-of-rest time, dim light melatonin onset (DLMO), or timing of core body temperature (CBT) maximum (acrophase) or minimum (bathyphase).METHODSWe aimed at circadian phase determination and readout during daily routines in volunteers stratified by sex and age. We measured (a) chronotype, (b) every minute (q1min) CBT using 2 electronic pills swallowed 24 hours apart, (c) DLMO through hourly salivary samples from 1800 hours to bedtime, and (d) q1min accelerations and surface temperature at anterior chest level for 7 days, using a teletransmitting sensor. Circadian phases were computed using cosinor and hidden Markov modeling. Multivariate regression identified the combination of biomarkers that best predicted core temperature circadian bathyphase.RESULTSAmong the 33 participants, individual circadian phases were spread over 5 hours, 10 minutes (DLMO); 7 hours (CBT bathyphase); and 9 hours, 10 minutes (surface temperature acrophase). CBT bathyphase was accurately predicted, i.e., with an error less than 1 hour for 78.8% of the subjects, using a new digital health algorithm (INTime), combining time-invariant sex and chronotype score with computed center-of-rest time and surface temperature bathyphase (adjusted R2 = 0.637).CONCLUSIONINTime provided a continuous and reliable circadian phase estimate in real time. This model helps integrate circadian clocks into precision medicine and will enable treatment timing personalization following further validation.FUNDINGMedical Research Council, United Kingdom; AP-HP Foundation; and INSERM.

摘要

背景

治疗的时间安排可以在很大程度上提高患者的耐受性和疗效。因此,药物代谢和细胞周期受到每个细胞中分子钟的控制,并通过下丘脑起搏器产生的核心体温 24 小时节律来协调。个体的昼夜时相目前是通过基于问卷的生物钟类型、休息中心时间、褪黑素起始时间(DLMO)或核心体温(CBT)最大值(峰值)或最小值(低谷)的时间来估计的。

方法

我们旨在在按性别和年龄分层的志愿者中确定日常活动期间的昼夜时相并进行读数。我们测量了:(a)生物钟类型;(b)每隔 1 分钟(q1min)通过 24 小时间隔吞下的 2 个电子药丸测量 CBT;(c)从 1800 小时到睡眠时间,每小时通过唾液样本测量 DLMO;(d)通过 7 天的遥测传感器,每隔 1 分钟加速和前胸水平的表面温度。使用余弦和隐马尔可夫模型计算昼夜时相。多元回归确定了最佳预测核心体温低谷的生物标志物组合。

结果

在 33 名参与者中,个体昼夜时相分布在 5 小时 10 分钟(DLMO);7 小时(CBT 低谷);9 小时 10 分钟(表面温度峰值)。使用一种新的数字健康算法(INTime),可以准确预测 CBT 低谷,即对于 78.8%的受试者,误差小于 1 小时,该算法结合了不变的性别和生物钟评分,以及计算出的休息中心时间和表面温度低谷(调整后的 R2=0.637)。

结论

INTime 实时提供了连续可靠的昼夜时相估计。该模型有助于将生物钟纳入精准医学,并将使治疗时间的个性化成为可能,有待进一步验证。

资助

英国医学研究理事会;AP-HP 基金会;INSERM。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58f1/6795290/f0dd32b24779/jciinsight-4-130423-g177.jpg

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