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Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
Many chronic disease symptomatologies involve desynchronized sleep-wake cycles, indicative of disrupted biorhythms. This can be interrogated using body temperature rhythms, which have circadian as well as sleep-wake behavior/environmental evoked components. Here, we investigated the association of w...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449859/ https://www.ncbi.nlm.nih.gov/pubmed/37620332 http://dx.doi.org/10.1038/s41467-023-40977-5 |
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author | Brooks, Thomas G. Lahens, Nicholas F. Grant, Gregory R. Sheline, Yvette I. FitzGerald, Garret A. Skarke, Carsten |
author_facet | Brooks, Thomas G. Lahens, Nicholas F. Grant, Gregory R. Sheline, Yvette I. FitzGerald, Garret A. Skarke, Carsten |
author_sort | Brooks, Thomas G. |
collection | PubMed |
description | Many chronic disease symptomatologies involve desynchronized sleep-wake cycles, indicative of disrupted biorhythms. This can be interrogated using body temperature rhythms, which have circadian as well as sleep-wake behavior/environmental evoked components. Here, we investigated the association of wrist temperature amplitudes with a future onset of disease in the UK Biobank one year after actigraphy. Among 425 disease conditions (range n = 200-6728) compared to controls (range n = 62,107-91,134), a total of 73 (17%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature (Benjamini-Hochberg FDR q < 0.05) and 26 (6.1%) PheCODEs passed a more stringent significance level (Bonferroni-correction α < 0.05). A two-standard deviation (1.8° Celsius) lower wrist temperature amplitude corresponded to hazard ratios of 1.91 (1.58-2.31 95% CI) for NAFLD, 1.69 (1.53-1.88) for type 2 diabetes, 1.25 (1.14-1.37) for renal failure, 1.23 (1.17-1.3) for hypertension, and 1.22 (1.11-1.33) for pneumonia (phenome-wide atlas available at http://bioinf.itmat.upenn.edu/biorhythm_atlas/). This work suggests peripheral thermoregulation as a digital biomarker. |
format | Online Article Text |
id | pubmed-10449859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104498592023-08-26 Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank Brooks, Thomas G. Lahens, Nicholas F. Grant, Gregory R. Sheline, Yvette I. FitzGerald, Garret A. Skarke, Carsten Nat Commun Article Many chronic disease symptomatologies involve desynchronized sleep-wake cycles, indicative of disrupted biorhythms. This can be interrogated using body temperature rhythms, which have circadian as well as sleep-wake behavior/environmental evoked components. Here, we investigated the association of wrist temperature amplitudes with a future onset of disease in the UK Biobank one year after actigraphy. Among 425 disease conditions (range n = 200-6728) compared to controls (range n = 62,107-91,134), a total of 73 (17%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature (Benjamini-Hochberg FDR q < 0.05) and 26 (6.1%) PheCODEs passed a more stringent significance level (Bonferroni-correction α < 0.05). A two-standard deviation (1.8° Celsius) lower wrist temperature amplitude corresponded to hazard ratios of 1.91 (1.58-2.31 95% CI) for NAFLD, 1.69 (1.53-1.88) for type 2 diabetes, 1.25 (1.14-1.37) for renal failure, 1.23 (1.17-1.3) for hypertension, and 1.22 (1.11-1.33) for pneumonia (phenome-wide atlas available at http://bioinf.itmat.upenn.edu/biorhythm_atlas/). This work suggests peripheral thermoregulation as a digital biomarker. Nature Publishing Group UK 2023-08-24 /pmc/articles/PMC10449859/ /pubmed/37620332 http://dx.doi.org/10.1038/s41467-023-40977-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Brooks, Thomas G. Lahens, Nicholas F. Grant, Gregory R. Sheline, Yvette I. FitzGerald, Garret A. Skarke, Carsten Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank |
title | Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank |
title_full | Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank |
title_fullStr | Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank |
title_full_unstemmed | Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank |
title_short | Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank |
title_sort | diurnal rhythms of wrist temperature are associated with future disease risk in the uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449859/ https://www.ncbi.nlm.nih.gov/pubmed/37620332 http://dx.doi.org/10.1038/s41467-023-40977-5 |
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