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Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?

CONTEXT: The metabolic syndrome (MetS), in addition to its lipid, metabolic, and anthropomorphic characteristics, is associated with a prothrombotic and the proinflammatory state. However, the relationship of inflammatory biomarkers to MetS is not clear. OBJECTIVE: To study the association between a...

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Autores principales: Kraja, Aldi T, Province, Michael A, Arnett, Donna, Wagenknecht, Lynne, Tang, Weihong, Hopkins, Paul N, Djoussé, Luc, Borecki, Ingrid B
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2254623/
https://www.ncbi.nlm.nih.gov/pubmed/18154661
http://dx.doi.org/10.1186/1743-7075-4-28
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author Kraja, Aldi T
Province, Michael A
Arnett, Donna
Wagenknecht, Lynne
Tang, Weihong
Hopkins, Paul N
Djoussé, Luc
Borecki, Ingrid B
author_facet Kraja, Aldi T
Province, Michael A
Arnett, Donna
Wagenknecht, Lynne
Tang, Weihong
Hopkins, Paul N
Djoussé, Luc
Borecki, Ingrid B
author_sort Kraja, Aldi T
collection PubMed
description CONTEXT: The metabolic syndrome (MetS), in addition to its lipid, metabolic, and anthropomorphic characteristics, is associated with a prothrombotic and the proinflammatory state. However, the relationship of inflammatory biomarkers to MetS is not clear. OBJECTIVE: To study the association between a group of thrombotic and inflammatory biomarkers and the MetS. METHODS: Ten conventional MetS risk variables and ten biomarkers were analyzed. Correlations, factor analysis, hexagonal binning, and regression of each biomarker with the National Cholesterol Education Program (NCEP) MetS categories were performed in the Family Heart Study (n = 2,762). RESULTS: Subjects in the top 75% quartile for plasminogen activator inhibitor-1 (PAI1) had a 6.9 CI95 [4.2–11.2] greater odds (p < 0.0001) of being classified with the NCEP MetS. Significant associations of the corresponding top 75% quartile to MetS were identified for monocyte chemotactic protein 1 (MCP1, OR = 2.19), C-reactive protein (CRP, OR = 1.89), interleukin-6 (IL6, OR = 2.11), sICAM1 (OR = 1.61), and fibrinogen (OR = 1.86). PAI1 correlated significantly with all obesity and dyslipidemia variables. CRP had a high correlation with serum amyloid A (0.6) and IL6 (0.51), and a significant correlation with fibrinogen (0.46). Ten conventional quantitative risk factors were utilized to perform multivariate factor analysis. Individual inclusion, in this analysis of each biomarker, showed that, PAI1, CRP, IL6, and fibrinogen were the most important biomarkers that clustered with the MetS latent factors. CONCLUSION: PAI1 is an important risk factor for MetS. It correlates significantly with most of the variables studied, clusters in two latent factors related to obesity and lipids, and demonstrates the greatest relative odds of the 10 biomarkers studied with respect to the MetS. Three other biomarkers, CRP, IL6, and fibrinogen associate also importantly with the MetS cluster. These 4 biomarkers can contribute in the MetS risk assessment.
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spelling pubmed-22546232008-02-27 Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster? Kraja, Aldi T Province, Michael A Arnett, Donna Wagenknecht, Lynne Tang, Weihong Hopkins, Paul N Djoussé, Luc Borecki, Ingrid B Nutr Metab (Lond) Research CONTEXT: The metabolic syndrome (MetS), in addition to its lipid, metabolic, and anthropomorphic characteristics, is associated with a prothrombotic and the proinflammatory state. However, the relationship of inflammatory biomarkers to MetS is not clear. OBJECTIVE: To study the association between a group of thrombotic and inflammatory biomarkers and the MetS. METHODS: Ten conventional MetS risk variables and ten biomarkers were analyzed. Correlations, factor analysis, hexagonal binning, and regression of each biomarker with the National Cholesterol Education Program (NCEP) MetS categories were performed in the Family Heart Study (n = 2,762). RESULTS: Subjects in the top 75% quartile for plasminogen activator inhibitor-1 (PAI1) had a 6.9 CI95 [4.2–11.2] greater odds (p < 0.0001) of being classified with the NCEP MetS. Significant associations of the corresponding top 75% quartile to MetS were identified for monocyte chemotactic protein 1 (MCP1, OR = 2.19), C-reactive protein (CRP, OR = 1.89), interleukin-6 (IL6, OR = 2.11), sICAM1 (OR = 1.61), and fibrinogen (OR = 1.86). PAI1 correlated significantly with all obesity and dyslipidemia variables. CRP had a high correlation with serum amyloid A (0.6) and IL6 (0.51), and a significant correlation with fibrinogen (0.46). Ten conventional quantitative risk factors were utilized to perform multivariate factor analysis. Individual inclusion, in this analysis of each biomarker, showed that, PAI1, CRP, IL6, and fibrinogen were the most important biomarkers that clustered with the MetS latent factors. CONCLUSION: PAI1 is an important risk factor for MetS. It correlates significantly with most of the variables studied, clusters in two latent factors related to obesity and lipids, and demonstrates the greatest relative odds of the 10 biomarkers studied with respect to the MetS. Three other biomarkers, CRP, IL6, and fibrinogen associate also importantly with the MetS cluster. These 4 biomarkers can contribute in the MetS risk assessment. BioMed Central 2007-12-21 /pmc/articles/PMC2254623/ /pubmed/18154661 http://dx.doi.org/10.1186/1743-7075-4-28 Text en Copyright © 2007 Kraja et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Kraja, Aldi T
Province, Michael A
Arnett, Donna
Wagenknecht, Lynne
Tang, Weihong
Hopkins, Paul N
Djoussé, Luc
Borecki, Ingrid B
Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?
title Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?
title_full Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?
title_fullStr Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?
title_full_unstemmed Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?
title_short Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?
title_sort do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2254623/
https://www.ncbi.nlm.nih.gov/pubmed/18154661
http://dx.doi.org/10.1186/1743-7075-4-28
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