Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart Study
Metabolic syndrome and inflammatory biomarkers: a community-based cross-sectional study at the Framingham Heart Study
复制标题
DOI：
10.1186/1758-5996-4-28
复制
发表时间：
2012-06-20
影响因子：
4.8
通讯作者：
Benjamin, Emelia J.
中科院分区：
文献类型：
--
作者：
Dallmeier, Dhayana;Larson, Martin G.;Benjamin, Emelia J.
背景：先前的研究报道了关于代谢综合征和炎症生物标志物之间关系的相互矛盾的发现。我们测试了代谢综合征和9种炎症标志物之间的横向关联。方法：我们测量了2570名无糖尿病和心血管疾病的FRA后代研究参与者的C反应蛋白、CD 40配体、白细胞介素-6、细胞间粘附分子-1、单核细胞趋化蛋白-1、骨保护素、P-选择素、肿瘤坏死因子-α和肿瘤坏死因子受体-2。代谢综合征的定义由国家胆固醇教育计划标准。我们对代谢综合征的每种生物标志物进行了多变量线性回归，作为年龄、性别、吸烟、阿司匹林使用和激素替代的调整暴露。随后，我们将代谢综合征的组成部分作为连续性状加上降脂和高血压治疗添加到模型中。结果：984例（38%）参与者中存在代谢综合征，除骨保护素外，代谢综合征与每种生物标志物均具有统计学显著性相关（均P < 0.02）。在调整其组成变量后，代谢综合征仅与P-选择素相关（代谢综合征高1.06倍，95%CI 1.02，1.10，p = 0.005）。结论：代谢综合征与多种炎症生物标志物相关。然而，调整其每个组成部分消除了与大多数炎症标志物的关联，除了P-选择素。我们的研究结果表明，代谢综合征和炎症之间的关系在很大程度上是由其组成部分。
Background: 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.Methods: 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 P < 0.05 as statistically significant.Results: Metabolic syndrome was present in 984 (38%) participants and was statistically significantly associated with each biomarker (all P < 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).Conclusions: 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.