Atherosclerotic biomarkers and aortic atherosclerosis by cardiovascular magnetic resonance imaging in the Framingham Heart Study
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Atherosclerotic biomarkers and aortic atherosclerosis by cardiovascular magnetic resonance imaging in the Framingham Heart Study. / Hong, Susie N; Gona, Philimon; Fontes, Joao D; Oyama, Noriko; Chan, Raymond H; Kenchaiah, Satish; Tsao, Connie W; Yeon, Susan B; Schnabel, Renate B; Keaney, John F; O'Donnell, Christopher J; Benjamin, Emelia J; Manning, Warren J.
In: J AM HEART ASSOC, Vol. 2, No. 6, 15.11.2013, p. e000307.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Atherosclerotic biomarkers and aortic atherosclerosis by cardiovascular magnetic resonance imaging in the Framingham Heart Study
AU - Hong, Susie N
AU - Gona, Philimon
AU - Fontes, Joao D
AU - Oyama, Noriko
AU - Chan, Raymond H
AU - Kenchaiah, Satish
AU - Tsao, Connie W
AU - Yeon, Susan B
AU - Schnabel, Renate B
AU - Keaney, John F
AU - O'Donnell, Christopher J
AU - Benjamin, Emelia J
AU - Manning, Warren J
PY - 2013/11/15
Y1 - 2013/11/15
N2 - BACKGROUND: The relations between subclinical atherosclerosis and inflammatory biomarkers have generated intense interest but their significance remains unclear. We sought to determine the association between a panel of biomarkers and subclinical aortic atherosclerosis in a community-based cohort.METHODS AND RESULTS: We evaluated 1547 participants of the Framingham Heart Study Offspring cohort who attended the 7th examination cycle and underwent both cardiovascular magnetic resonance imaging (CMR) and assays for 10 biomarkers associated with atherosclerosis: high-sensitivity C-reactive protein, fibrinogen, intercellular adhesion molecule-1, interleukin-6, interleukin-18, lipoprotein-associated phospholipase-A2 activity and mass, monocyte chemoattractant protein-1, P-selectin, and tumor necrosis factor receptor-2. In logistic regression analysis, we found no significant association between the biomarker panel and the presence of aortic plaque (global P=0.53). Using Tobit regression with aortic plaque as a continuous variable, we noted a modest association between biomarker panel and aortic plaque volume in age- and sex-adjusted analyses (P=0.003). However, this association was attenuated after further adjustment for clinical covariates (P=0.09).CONCLUSIONS: In our community-based cohort, we found no significant association between our multibiomarker panel and aortic plaque. Our results underscore the strengths and limitations of the use of biomarkers for the identification of subclinical atherosclerosis and the importance of traditional risk factors.
AB - BACKGROUND: The relations between subclinical atherosclerosis and inflammatory biomarkers have generated intense interest but their significance remains unclear. We sought to determine the association between a panel of biomarkers and subclinical aortic atherosclerosis in a community-based cohort.METHODS AND RESULTS: We evaluated 1547 participants of the Framingham Heart Study Offspring cohort who attended the 7th examination cycle and underwent both cardiovascular magnetic resonance imaging (CMR) and assays for 10 biomarkers associated with atherosclerosis: high-sensitivity C-reactive protein, fibrinogen, intercellular adhesion molecule-1, interleukin-6, interleukin-18, lipoprotein-associated phospholipase-A2 activity and mass, monocyte chemoattractant protein-1, P-selectin, and tumor necrosis factor receptor-2. In logistic regression analysis, we found no significant association between the biomarker panel and the presence of aortic plaque (global P=0.53). Using Tobit regression with aortic plaque as a continuous variable, we noted a modest association between biomarker panel and aortic plaque volume in age- and sex-adjusted analyses (P=0.003). However, this association was attenuated after further adjustment for clinical covariates (P=0.09).CONCLUSIONS: In our community-based cohort, we found no significant association between our multibiomarker panel and aortic plaque. Our results underscore the strengths and limitations of the use of biomarkers for the identification of subclinical atherosclerosis and the importance of traditional risk factors.
KW - Age Factors
KW - Aged
KW - Aorta, Abdominal/pathology
KW - Aorta, Thoracic/pathology
KW - Aortic Diseases/blood
KW - Atherosclerosis/blood
KW - Biomarkers/blood
KW - Female
KW - Humans
KW - Inflammation Mediators/blood
KW - Magnetic Resonance Imaging
KW - Male
KW - Massachusetts
KW - Middle Aged
KW - Plaque, Atherosclerotic
KW - Predictive Value of Tests
KW - Prognosis
KW - Risk Factors
KW - Sex Factors
U2 - 10.1161/JAHA.113.000307
DO - 10.1161/JAHA.113.000307
M3 - SCORING: Journal article
C2 - 24242683
VL - 2
SP - e000307
JO - J AM HEART ASSOC
JF - J AM HEART ASSOC
SN - 2047-9980
IS - 6
ER -