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Peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes

AIMS/HYPOTHESIS: The circadian clock influences both diabetes and immunity. Our goal in this study was to characterise more thoroughly the circadian patterns of immune cell populations and cytokines that are particularly relevant to the immune pathology of type 1 diabetes and thus fill in a current...

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Autores principales: Beam, Craig A., Beli, Eleni, Wasserfall, Clive H., Woerner, Stephanie E., Legge, Megan T., Evans-Molina, Carmella, McGrail, Kieran M., Silk, Ryan, Grant, Maria B., Atkinson, Mark A., DiMeglio, Linda A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245361/
https://www.ncbi.nlm.nih.gov/pubmed/34003304
http://dx.doi.org/10.1007/s00125-021-05468-6
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author Beam, Craig A.
Beli, Eleni
Wasserfall, Clive H.
Woerner, Stephanie E.
Legge, Megan T.
Evans-Molina, Carmella
McGrail, Kieran M.
Silk, Ryan
Grant, Maria B.
Atkinson, Mark A.
DiMeglio, Linda A.
author_facet Beam, Craig A.
Beli, Eleni
Wasserfall, Clive H.
Woerner, Stephanie E.
Legge, Megan T.
Evans-Molina, Carmella
McGrail, Kieran M.
Silk, Ryan
Grant, Maria B.
Atkinson, Mark A.
DiMeglio, Linda A.
author_sort Beam, Craig A.
collection PubMed
description AIMS/HYPOTHESIS: The circadian clock influences both diabetes and immunity. Our goal in this study was to characterise more thoroughly the circadian patterns of immune cell populations and cytokines that are particularly relevant to the immune pathology of type 1 diabetes and thus fill in a current gap in our understanding of this disease. METHODS: Ten individuals with established type 1 diabetes (mean disease duration 11 years, age 18–40 years, six female) participated in a circadian sampling protocol, each providing six blood samples over a 24 h period. RESULTS: Daily ranges of population frequencies were sometimes large and possibly clinically significant. Several immune populations, such as dendritic cells, CD4 and CD8 T cells and their effector memory subpopulations, CD4 regulatory T cells, B cells and cytokine IL-6, exhibited statistically significant circadian rhythmicity. In a comparison with historical healthy control individuals, but using shipped samples, we observed that participants with type 1 diabetes had statistically significant phase shifts occurring in the time of peak occurrence of B cells (+4.8 h), CD4 and CD8 T cells (~ +5 h) and their naive and effector memory subsets (~ +3.3 to +4.5 h), and regulatory T cells (+4.1 h). An independent streptozotocin murine experiment confirmed the phase shifting of CD8 T cells and suggests that circadian dysrhythmia in type 1 diabetes might be an effect and not a cause of the disease. CONCLUSIONS/INTERPRETATION: Future efforts investigating this newly described aspect of type 1 diabetes in human participants are warranted. Peripheral immune populations should be measured near the same time of day in order to reduce circadian-related variation. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains peer-reviewed but unedited supplementary material available at 10.1007/s00125-021-05468-6.
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spelling pubmed-82453612021-07-14 Peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes Beam, Craig A. Beli, Eleni Wasserfall, Clive H. Woerner, Stephanie E. Legge, Megan T. Evans-Molina, Carmella McGrail, Kieran M. Silk, Ryan Grant, Maria B. Atkinson, Mark A. DiMeglio, Linda A. Diabetologia Article AIMS/HYPOTHESIS: The circadian clock influences both diabetes and immunity. Our goal in this study was to characterise more thoroughly the circadian patterns of immune cell populations and cytokines that are particularly relevant to the immune pathology of type 1 diabetes and thus fill in a current gap in our understanding of this disease. METHODS: Ten individuals with established type 1 diabetes (mean disease duration 11 years, age 18–40 years, six female) participated in a circadian sampling protocol, each providing six blood samples over a 24 h period. RESULTS: Daily ranges of population frequencies were sometimes large and possibly clinically significant. Several immune populations, such as dendritic cells, CD4 and CD8 T cells and their effector memory subpopulations, CD4 regulatory T cells, B cells and cytokine IL-6, exhibited statistically significant circadian rhythmicity. In a comparison with historical healthy control individuals, but using shipped samples, we observed that participants with type 1 diabetes had statistically significant phase shifts occurring in the time of peak occurrence of B cells (+4.8 h), CD4 and CD8 T cells (~ +5 h) and their naive and effector memory subsets (~ +3.3 to +4.5 h), and regulatory T cells (+4.1 h). An independent streptozotocin murine experiment confirmed the phase shifting of CD8 T cells and suggests that circadian dysrhythmia in type 1 diabetes might be an effect and not a cause of the disease. CONCLUSIONS/INTERPRETATION: Future efforts investigating this newly described aspect of type 1 diabetes in human participants are warranted. Peripheral immune populations should be measured near the same time of day in order to reduce circadian-related variation. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains peer-reviewed but unedited supplementary material available at 10.1007/s00125-021-05468-6. Springer Berlin Heidelberg 2021-05-18 2021 /pmc/articles/PMC8245361/ /pubmed/34003304 http://dx.doi.org/10.1007/s00125-021-05468-6 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Beam, Craig A.
Beli, Eleni
Wasserfall, Clive H.
Woerner, Stephanie E.
Legge, Megan T.
Evans-Molina, Carmella
McGrail, Kieran M.
Silk, Ryan
Grant, Maria B.
Atkinson, Mark A.
DiMeglio, Linda A.
Peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes
title Peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes
title_full Peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes
title_fullStr Peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes
title_full_unstemmed Peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes
title_short Peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes
title_sort peripheral immune circadian variation, synchronisation and possible dysrhythmia in established type 1 diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245361/
https://www.ncbi.nlm.nih.gov/pubmed/34003304
http://dx.doi.org/10.1007/s00125-021-05468-6
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