饮食质量评分和炎症和内皮功能障碍标志物的血浆浓度。

Teresa T Fung, Marjorie L McCullough, P K Newby, Joann E Manson, James B Meigs, Nader Rifai, Walter C Willett, Frank B Hu
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引用次数: 0

摘要

背景:内皮功能障碍是心血管疾病风险增加的机制之一。目的:我们评估几种饮食质量评分与血浆炎症和内皮功能障碍标志物浓度之间的关系。设计:利用1990年护士健康研究中690名妇女(年龄43-69岁,无心血管疾病或糖尿病)的食物频率问卷,计算健康饮食指数(HEI)、替代健康饮食指数(AHEI)、修订饮食质量指数(DQI-R)、推荐食物评分(RFS)和替代地中海饮食指数(aMED)的饮食质量得分。同年完成了血液采集。我们使用回归分析来评估这些饮食质量评分与血浆c反应蛋白、白细胞介素6、e -选择素、可溶性细胞间细胞粘附分子1和可溶性血管细胞粘附分子1浓度之间的关系。结果:各饮食质量评分之间存在显著相关;相关系数范围为0.56 ~ 0.80 (P值均< 0.0001)。在对年龄、体重指数、酒精摄入量、体力活动、吸烟状况和能量摄入进行调整后,HEI和DQI-R与任何生物标志物均无显著相关性,而AHEI和aMED评分与大多数生物标志物浓度显著降低相关。RFS仅与较低浓度的e -选择素显著相关。结论:AHEI和aMED评分越高,炎症和内皮功能障碍的生物标志物浓度越低,因此可能有助于指导降低涉及这些生物途径的疾病的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diet-quality scores and plasma concentrations of markers of inflammation and endothelial dysfunction.

Background: Endothelial dysfunction is one of the mechanisms linked to an increased risk of cardiovascular disease.

Objective: We assessed the association between several diet-quality scores and plasma concentrations of markers of inflammation and endothelial dysfunction.

Design: Diet-quality scores on the Healthy Eating Index (HEI), Alternate Healthy Eating Index (AHEI), Diet Quality Index Revised (DQI-R), Recommended Food Score (RFS), and the alternate Mediterranean Diet Index (aMED) were calculated by using a food-frequency questionnaire that was administered in 1990 to 690 women in the Nurses' Health Study (ages 43-69 y, no cardiovascular disease or diabetes). Blood collection was completed in the same year. We used regression analysis to assess the associations between these diet-quality scores and plasma concentrations of C-reactive protein, interleukin 6, E-selectin, soluble intercellular cell adhesion molecule 1, and soluble vascular cell adhesion molecule 1.

Results: The various diet-quality scores were significantly correlated with each other; correlation coefficients ranged from 0.56 to 0.80 (all P values < 0.0001). After adjustment for age, body mass index, alcohol intake, physical activity, smoking status, and energy intake, the HEI and DQI-R were not significantly associated with any of the biomarkers, whereas the AHEI and aMED scores were associated with significantly lower concentrations of most biomarkers. The RFS was significantly associated with a lower concentration of E-selectin only. C-reactive protein concentrations were 30% (P < 0.05) and 24% (P < 0.05) lower in the top than in the bottom quintile of the AHEI and of the aMED, respectively

Conclusion: Higher AHEI and aMED scores were associated with lower concentrations of biomarkers of inflammation and endothelial dysfunction and therefore may be useful as guidelines for reducing the risk of diseases involving such biological pathways.

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