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Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique

BACKGROUND: Obesity has previously been linked to inflammation. Here we investigated how plasma levels of six interleukins were related to body fat distribution. METHODS: In 321 subjects, all aged 50 years, in the population-based POEM study (mean BMI 26–27 kg/m(2)), six interleukins were measured t...

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Autores principales: Strand, Robin, Kullberg, Joel, Ahlström, Håkan, Lind, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885882/
https://www.ncbi.nlm.nih.gov/pubmed/33604566
http://dx.doi.org/10.1016/j.cytox.2020.100050
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author Strand, Robin
Kullberg, Joel
Ahlström, Håkan
Lind, Lars
author_facet Strand, Robin
Kullberg, Joel
Ahlström, Håkan
Lind, Lars
author_sort Strand, Robin
collection PubMed
description BACKGROUND: Obesity has previously been linked to inflammation. Here we investigated how plasma levels of six interleukins were related to body fat distribution. METHODS: In 321 subjects, all aged 50 years, in the population-based POEM study (mean BMI 26–27 kg/m(2)), six interleukins were measured together with a DXA scan for determination of fat and lean mass. Also a whole-body magnetic resonance imaging (MRI) scan, in which fat content measurements were acquired in > 1 million voxels was performed. Interleukin levels were related to each of these voxels by the voxel-based technique “Imiomics” to create a 3D-view of how these measurements were related to size of each part of the body. RESULTS: Levels of IL-1RA and IL-6 were related to traditional DXA and MRI measurements of adipose tissue at all locations. Neither IL-6R, nor IL-8 or IL-18, showed any consistent significant relationships vs the traditional measurements of body composition, while IL-16 showed relationships being of borderline significance. The Imiomics evaluation further strengthen the view that IL-1RA and IL-6 were related to subcutaneous adipose tissue (SAT), as well to ectopic fat distribution. In women, IL-16 levels were weakly related to expansion of SAT in the upper part of the body, while on the contrary, IL-8 levels were related to a reduction of SAT volume. CONCLUSION: Of the six evaluated interleukins, plasma IL-1RA and IL-6 levels were related to the amount of adipose tissue in all parts of the body, while a diverse picture was seen for other interleukins, suggesting that different interleukins are related to fat distribution in different ways.
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spelling pubmed-78858822021-02-17 Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique Strand, Robin Kullberg, Joel Ahlström, Håkan Lind, Lars Cytokine X Research Article BACKGROUND: Obesity has previously been linked to inflammation. Here we investigated how plasma levels of six interleukins were related to body fat distribution. METHODS: In 321 subjects, all aged 50 years, in the population-based POEM study (mean BMI 26–27 kg/m(2)), six interleukins were measured together with a DXA scan for determination of fat and lean mass. Also a whole-body magnetic resonance imaging (MRI) scan, in which fat content measurements were acquired in > 1 million voxels was performed. Interleukin levels were related to each of these voxels by the voxel-based technique “Imiomics” to create a 3D-view of how these measurements were related to size of each part of the body. RESULTS: Levels of IL-1RA and IL-6 were related to traditional DXA and MRI measurements of adipose tissue at all locations. Neither IL-6R, nor IL-8 or IL-18, showed any consistent significant relationships vs the traditional measurements of body composition, while IL-16 showed relationships being of borderline significance. The Imiomics evaluation further strengthen the view that IL-1RA and IL-6 were related to subcutaneous adipose tissue (SAT), as well to ectopic fat distribution. In women, IL-16 levels were weakly related to expansion of SAT in the upper part of the body, while on the contrary, IL-8 levels were related to a reduction of SAT volume. CONCLUSION: Of the six evaluated interleukins, plasma IL-1RA and IL-6 levels were related to the amount of adipose tissue in all parts of the body, while a diverse picture was seen for other interleukins, suggesting that different interleukins are related to fat distribution in different ways. Elsevier 2020-12-21 /pmc/articles/PMC7885882/ /pubmed/33604566 http://dx.doi.org/10.1016/j.cytox.2020.100050 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Strand, Robin
Kullberg, Joel
Ahlström, Håkan
Lind, Lars
Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique
title Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique
title_full Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique
title_fullStr Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique
title_full_unstemmed Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique
title_short Relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique
title_sort relationships between plasma levels and six proinflammatory interleukins and body composition using a new magnetic resonance imaging voxel-based technique
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885882/
https://www.ncbi.nlm.nih.gov/pubmed/33604566
http://dx.doi.org/10.1016/j.cytox.2020.100050
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