Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart Study

<p>Abstract</p> <p>Background</p> <p>Prior studies reported conflicting findings on the association between metabolic syndrome and inflammatory biomarkers. We tested the cross-sectional associations between metabolic syndrome and nine inflammatory markers.</p> <...

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Main Authors: Dallmeier Dhayana, Larson Martin G, Vasan Ramachandran S, Keaney John F, Fontes Joao D, Meigs James B, Fox Caroline S, Benjamin Emelia J
Format: Article
Language:English
Published: BMC 2012-06-01
Series:Diabetology & Metabolic Syndrome
Subjects:
Online Access:http://www.dmsjournal.com/content/4/1/28
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spelling doaj-b99e31f738a94476813b39ee657f86dd2020-11-24T21:02:16ZengBMCDiabetology & Metabolic Syndrome1758-59962012-06-01412810.1186/1758-5996-4-28Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart StudyDallmeier DhayanaLarson Martin GVasan Ramachandran SKeaney John FFontes Joao DMeigs James BFox Caroline SBenjamin Emelia J<p>Abstract</p> <p>Background</p> <p>Prior studies reported conflicting findings on the association between metabolic syndrome and inflammatory biomarkers. We tested the cross-sectional associations between metabolic syndrome and nine inflammatory markers.</p> <p>Methods</p> <p>We measured C-reactive protein, CD40 ligand, interleukin-6, intercellular adhesion molecule-1, monocyte chemoattractant protein-1, osteoprotegerin, P-selectin, tumor necrosis factor-alpha, and tumor necrosis factor receptor-2 in 2570 Framingham Offspring Study participants free of diabetes and cardiovascular disease at examination 7. Metabolic syndrome was defined by National Cholesterol Education Program criteria. We performed multivariable linear regressions for each biomarker with metabolic syndrome as the exposure adjusting for age, sex, smoking, aspirin use, and hormone replacement. We subsequently added to the models components of the metabolic syndrome as continuous traits plus lipid lowering and hypertension treatments. We considered <it>P</it> < 0.05 as statistically significant.</p> <p>Results</p> <p>Metabolic syndrome was present in 984 (38%) participants and was statistically significantly associated with each biomarker (all <it>P <</it> 0.02) except osteoprotegerin. After adjusting for its component variables, the metabolic syndrome was associated only with P-selectin (1.06 fold higher in metabolic syndrome, 95% CI 1.02, 1.10, p = 0.005).</p> <p>Conclusions</p> <p>Metabolic syndrome was associated with multiple inflammatory biomarkers. However, adjusting for each of its components eliminated the association with most inflammatory markers, except P-selectin. Our results suggest that the relation between metabolic syndrome and inflammation is largely accounted for by its components.</p> http://www.dmsjournal.com/content/4/1/28Metabolic syndromeInflammatory biomarkersBody mass indexInsulin resistance
collection DOAJ
language English
format Article
sources DOAJ
author Dallmeier Dhayana
Larson Martin G
Vasan Ramachandran S
Keaney John F
Fontes Joao D
Meigs James B
Fox Caroline S
Benjamin Emelia J
spellingShingle Dallmeier Dhayana
Larson Martin G
Vasan Ramachandran S
Keaney John F
Fontes Joao D
Meigs James B
Fox Caroline S
Benjamin Emelia J
Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart Study
Diabetology & Metabolic Syndrome
Metabolic syndrome
Inflammatory biomarkers
Body mass index
Insulin resistance
author_facet Dallmeier Dhayana
Larson Martin G
Vasan Ramachandran S
Keaney John F
Fontes Joao D
Meigs James B
Fox Caroline S
Benjamin Emelia J
author_sort Dallmeier Dhayana
title Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart Study
title_short Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart Study
title_full Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart Study
title_fullStr Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart Study
title_full_unstemmed Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart Study
title_sort metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the framingham heart study
publisher BMC
series Diabetology & Metabolic Syndrome
issn 1758-5996
publishDate 2012-06-01
description <p>Abstract</p> <p>Background</p> <p>Prior studies reported conflicting findings on the association between metabolic syndrome and inflammatory biomarkers. We tested the cross-sectional associations between metabolic syndrome and nine inflammatory markers.</p> <p>Methods</p> <p>We measured C-reactive protein, CD40 ligand, interleukin-6, intercellular adhesion molecule-1, monocyte chemoattractant protein-1, osteoprotegerin, P-selectin, tumor necrosis factor-alpha, and tumor necrosis factor receptor-2 in 2570 Framingham Offspring Study participants free of diabetes and cardiovascular disease at examination 7. Metabolic syndrome was defined by National Cholesterol Education Program criteria. We performed multivariable linear regressions for each biomarker with metabolic syndrome as the exposure adjusting for age, sex, smoking, aspirin use, and hormone replacement. We subsequently added to the models components of the metabolic syndrome as continuous traits plus lipid lowering and hypertension treatments. We considered <it>P</it> < 0.05 as statistically significant.</p> <p>Results</p> <p>Metabolic syndrome was present in 984 (38%) participants and was statistically significantly associated with each biomarker (all <it>P <</it> 0.02) except osteoprotegerin. After adjusting for its component variables, the metabolic syndrome was associated only with P-selectin (1.06 fold higher in metabolic syndrome, 95% CI 1.02, 1.10, p = 0.005).</p> <p>Conclusions</p> <p>Metabolic syndrome was associated with multiple inflammatory biomarkers. However, adjusting for each of its components eliminated the association with most inflammatory markers, except P-selectin. Our results suggest that the relation between metabolic syndrome and inflammation is largely accounted for by its components.</p>
topic Metabolic syndrome
Inflammatory biomarkers
Body mass index
Insulin resistance
url http://www.dmsjournal.com/content/4/1/28
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