Cassidy Aedin, Rogers Gail, Peterson Julia J, Dwyer Johanna T, Lin Honghuang, Jacques Paul F
Department of Nutrition, Norwich Medical School, University of East Anglia, Norwich, United Kingdom;
Jean Mayer USDA Human Nutrition Research Center on Aging and.
Am J Clin Nutr. 2015 Jul;102(1):172-81. doi: 10.3945/ajcn.115.108555. Epub 2015 May 27.
Although growing evidence from trials and population-based studies has supported a protective role for flavonoids in relation to risk of certain chronic diseases, the underlying mechanisms remain unclear. Several previous studies focused on individual inflammatory biomarkers, but because of the limited specificity of any individual marker, an assessment of a combination of biomarkers may be more informative.
We used an inflammation score (IS) that integrated 12 individual inflammatory biomarkers for the examination of associations with intakes of different flavonoid classes.
The study was a cross-sectional analysis of 2375 Framingham Heart Study Offspring Cohort participants. Intakes of total flavonoids and their classes (anthocyanins, flavonols, flavanones, flavan-3-ols, polymers, and flavones) were calculated from validated food-frequency questionnaires. Individual inflammatory biomarkers were ranked, standardized, and summed to derive an overall IS and subgroup scores of functionally related biomarkers.
In multivariate analyses, an inverse association between higher anthocyanin and flavonol intakes and IS was observed with a mean ± SE difference between quintile categories 5 and 1 of -1.48 ± 0.32 (P-trend ≤ 0.001) and -0.72 ± 0.33 (P-trend = 0.01), respectively. Results remained significant after additional adjustment for physical activity and vitamin C and fruit and vegetable intakes. Higher anthocyanin intake was inversely associated with all biomarker subgroups, whereas higher flavonol intake was associated only with lower cytokine and oxidative stress biomarker concentrations. In food-based analyses, higher intakes of apples and pears, red wine, and strawberries were associated with a lower IS with differences between quintiles 5 and 1 of -1.02 ± 0.43 (P = 0.006), -1.73 ± 0.39 (P < 0.001), and -0.44 ± 0.88 (P = 0.02), respectively. Although intakes of other classes were not associated with a reduction in overall IS, higher intakes of flavan-3-ols and their polymers were associated with a significant reduction in oxidative stress biomarkers.
These findings provide evidence to suggest that an anti-inflammatory effect may be a key component underlying the reduction in risk of certain chronic diseases associated with higher intakes of anthocyanins and flavonols. The Framingham Offspring Study was registered at clinicaltrials.gov as NCT00005121 (Framingham Heart Study).
尽管来自试验和基于人群的研究的证据越来越多地支持黄酮类化合物在某些慢性病风险方面具有保护作用,但其潜在机制仍不清楚。先前的几项研究聚焦于单个炎症生物标志物,但由于任何单个标志物的特异性有限,对生物标志物组合进行评估可能更具信息量。
我们使用一种整合了12种个体炎症生物标志物的炎症评分(IS)来检验与不同类黄酮摄入量之间的关联。
该研究是对2375名弗雷明汉心脏研究后代队列参与者的横断面分析。总黄酮及其类别(花青素、黄酮醇、黄烷酮、黄烷 - 3 - 醇、聚合物和黄酮)的摄入量通过经过验证的食物频率问卷计算得出。对个体炎症生物标志物进行排序、标准化并求和,以得出整体IS以及功能相关生物标志物的亚组评分。
在多变量分析中,观察到较高的花青素和黄酮醇摄入量与IS呈负相关,第5分位数与第1分位数类别之间的平均±标准误差异分别为 - 1.48 ± 0.32(P趋势≤0.001)和 - 0.72 ± 0.33(P趋势 = 0.01)。在对身体活动、维生素C以及水果和蔬菜摄入量进行额外调整后,结果仍然显著。较高的花青素摄入量与所有生物标志物亚组均呈负相关,而较高的黄酮醇摄入量仅与较低的细胞因子和氧化应激生物标志物浓度相关。在基于食物的分析中,较高的苹果、梨、红酒和草莓摄入量与较低的IS相关,第5分位数与第1分位数之间的差异分别为 - 1.02 ± 0.43(P = 0.006)、 - 1.73 ± 0.39(P < 0.001)和 - 0.44 ± 0.88(P = 0.02)。虽然其他类别的摄入量与整体IS的降低无关,但较高的黄烷 - 3 - 醇及其聚合物摄入量与氧化应激生物标志物的显著降低相关。
这些发现提供了证据,表明抗炎作用可能是与较高的花青素和黄酮醇摄入量相关的某些慢性病风险降低的关键因素。弗雷明汉后代研究在clinicaltrials.gov上注册为NCT00005121(弗雷明汉心脏研究)。