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Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes
Metabolic profiling of individuals with type 2 diabetes mellitus (T2DM) has previously been limited to single-time-point samples, ignoring time-of-day variation. Here, we tested our hypothesis that body mass and T2DM affect daily rhythmicity and concentrations of circulating metabolites across a 24-...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Federation of American Societies for Experimental Biology
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690388/ https://www.ncbi.nlm.nih.gov/pubmed/28821636 http://dx.doi.org/10.1096/fj.201700323R |
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author | Isherwood, Cheryl M. Van der Veen, Daan R. Johnston, Jonathan D. Skene, Debra J. |
author_facet | Isherwood, Cheryl M. Van der Veen, Daan R. Johnston, Jonathan D. Skene, Debra J. |
author_sort | Isherwood, Cheryl M. |
collection | PubMed |
description | Metabolic profiling of individuals with type 2 diabetes mellitus (T2DM) has previously been limited to single-time-point samples, ignoring time-of-day variation. Here, we tested our hypothesis that body mass and T2DM affect daily rhythmicity and concentrations of circulating metabolites across a 24-h day in 3 age-matched, male groups—lean, overweight/obese (OW/OB), and OW/OB with T2DM—in controlled laboratory conditions, which were not confounded by large meals. By using targeted liquid chromatography/mass spectrometry metabolomics, we quantified 130 plasma metabolites every 2 h over 24 h, and we show that average metabolite concentrations were significantly altered by increased body mass (90 of 130) and T2DM (56 of 130). Thirty-eight percent of metabolites exhibited daily rhythms in at least 1 study group, and where a metabolite was rhythmic in >1 group, its peak time was comparable. The optimal time of day was assessed to provide discriminating biomarkers. This differed between metabolite classes and study groups—for example, phospholipids showed maximal difference at 5:00 AM (lean vs. OW/OB) and at 5:00 PM (OW/OB vs. T2DM). Metabolites that were identified with both robust 24-h rhythms and significant concentration differences between study groups emphasize the importance of controlling the time of day for diagnosis and biomarker discovery, offering a significant improvement over current single sampling.—Isherwood, C. M., Van der Veen, D. R., Johnston, J. D., Skene, D. J. Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes. |
format | Online Article Text |
id | pubmed-5690388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Federation of American Societies for Experimental Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-56903882017-11-22 Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes Isherwood, Cheryl M. Van der Veen, Daan R. Johnston, Jonathan D. Skene, Debra J. FASEB J Research Metabolic profiling of individuals with type 2 diabetes mellitus (T2DM) has previously been limited to single-time-point samples, ignoring time-of-day variation. Here, we tested our hypothesis that body mass and T2DM affect daily rhythmicity and concentrations of circulating metabolites across a 24-h day in 3 age-matched, male groups—lean, overweight/obese (OW/OB), and OW/OB with T2DM—in controlled laboratory conditions, which were not confounded by large meals. By using targeted liquid chromatography/mass spectrometry metabolomics, we quantified 130 plasma metabolites every 2 h over 24 h, and we show that average metabolite concentrations were significantly altered by increased body mass (90 of 130) and T2DM (56 of 130). Thirty-eight percent of metabolites exhibited daily rhythms in at least 1 study group, and where a metabolite was rhythmic in >1 group, its peak time was comparable. The optimal time of day was assessed to provide discriminating biomarkers. This differed between metabolite classes and study groups—for example, phospholipids showed maximal difference at 5:00 AM (lean vs. OW/OB) and at 5:00 PM (OW/OB vs. T2DM). Metabolites that were identified with both robust 24-h rhythms and significant concentration differences between study groups emphasize the importance of controlling the time of day for diagnosis and biomarker discovery, offering a significant improvement over current single sampling.—Isherwood, C. M., Van der Veen, D. R., Johnston, J. D., Skene, D. J. Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes. Federation of American Societies for Experimental Biology 2017-12 2017-08-18 /pmc/articles/PMC5690388/ /pubmed/28821636 http://dx.doi.org/10.1096/fj.201700323R Text en © The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Isherwood, Cheryl M. Van der Veen, Daan R. Johnston, Jonathan D. Skene, Debra J. Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes |
title | Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes |
title_full | Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes |
title_fullStr | Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes |
title_full_unstemmed | Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes |
title_short | Twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes |
title_sort | twenty-four-hour rhythmicity of circulating metabolites: effect of body mass and type 2 diabetes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690388/ https://www.ncbi.nlm.nih.gov/pubmed/28821636 http://dx.doi.org/10.1096/fj.201700323R |
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