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Telemonitored Human Circadian Temperature Dynamics During Daily Routine

BACKGROUND: 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 t...

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Autores principales: Huang, Qi, Komarzynski, Sandra, Bolborea, Matei, Finkenstädt, Barbel, Lévi, Francis Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141869/
https://www.ncbi.nlm.nih.gov/pubmed/34040543
http://dx.doi.org/10.3389/fphys.2021.659973
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author Huang, Qi
Komarzynski, Sandra
Bolborea, Matei
Finkenstädt, Barbel
Lévi, Francis Albert
author_facet Huang, Qi
Komarzynski, Sandra
Bolborea, Matei
Finkenstädt, Barbel
Lévi, Francis Albert
author_sort Huang, Qi
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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. INTERPRETATION: 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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spelling pubmed-81418692021-05-25 Telemonitored Human Circadian Temperature Dynamics During Daily Routine Huang, Qi Komarzynski, Sandra Bolborea, Matei Finkenstädt, Barbel Lévi, Francis Albert Front Physiol Physiology BACKGROUND: 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. METHODS: 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. RESULTS: 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. INTERPRETATION: 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. Frontiers Media S.A. 2021-05-10 /pmc/articles/PMC8141869/ /pubmed/34040543 http://dx.doi.org/10.3389/fphys.2021.659973 Text en Copyright © 2021 Huang, Komarzynski, Bolborea, Finkenstädt and Lévi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Huang, Qi
Komarzynski, Sandra
Bolborea, Matei
Finkenstädt, Barbel
Lévi, Francis Albert
Telemonitored Human Circadian Temperature Dynamics During Daily Routine
title Telemonitored Human Circadian Temperature Dynamics During Daily Routine
title_full Telemonitored Human Circadian Temperature Dynamics During Daily Routine
title_fullStr Telemonitored Human Circadian Temperature Dynamics During Daily Routine
title_full_unstemmed Telemonitored Human Circadian Temperature Dynamics During Daily Routine
title_short Telemonitored Human Circadian Temperature Dynamics During Daily Routine
title_sort telemonitored human circadian temperature dynamics during daily routine
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141869/
https://www.ncbi.nlm.nih.gov/pubmed/34040543
http://dx.doi.org/10.3389/fphys.2021.659973
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