Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA.
Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA.
Nutrients. 2020 May 19;12(5):1476. doi: 10.3390/nu12051476.
Data on proteomic and metabolomic signatures of healthy dietary patterns are limited. We evaluated the cross-sectional association of serum proteomic and metabolomic markers with three dietary patterns: the Alternative Healthy Eating Index (AHEI), the Dietary Approaches to Stop Hypertension (DASH) diet; and a Mediterranean-style (MDS) diet. We examined participants from the Framingham Offspring Study (mean age; 55 years; 52% women) who had complete proteomic ( = 1713) and metabolomic ( = 2284) data; using food frequency questionnaires to derive dietary pattern indices. Proteins and metabolites were quantified using the SomaScan platform and liquid chromatography/tandem mass spectrometry; respectively. We used multivariable-adjusted linear regression models to relate each dietary pattern index (independent variables) to each proteomic and metabolomic marker (dependent variables). Of the 1373 proteins; 103 were associated with at least one dietary pattern (48 with AHEI; 83 with DASH; and 8 with MDS; all false discovery rate [FDR] ≤ 0.05). We identified unique associations between dietary patterns and proteins (17 with AHEI; 52 with DASH; and 3 with MDS; all FDR ≤ 0.05). Significant proteins enriched biological pathways involved in cellular metabolism/proliferation and immune response/inflammation. Of the 216 metabolites; 65 were associated with at least one dietary pattern (38 with AHEI; 43 with DASH; and 50 with MDS; all FDR ≤ 0.05). All three dietary patterns were associated with a common signature of 24 metabolites (63% lipids). Proteins and metabolites associated with dietary patterns may help characterize intermediate phenotypes that provide insights into the molecular mechanisms mediating diet-related disease. Our findings warrant replication in independent populations.
有关健康饮食模式的蛋白质组学和代谢组学特征的数据有限。我们评估了血清蛋白质组学和代谢组学标志物与三种饮食模式的横断面关联:替代健康饮食指数(AHEI)、停止高血压的饮食方法(DASH)饮食;和地中海式(MDS)饮食。我们检查了 Framingham 后代研究(平均年龄为 55 岁;52%为女性)的参与者,他们有完整的蛋白质组学(=1713)和代谢组学(=2284)数据;使用食物频率问卷得出饮食模式指数。使用 SomaScan 平台和液相色谱/串联质谱分别定量蛋白质和代谢物;分别。我们使用多变量调整的线性回归模型,将每个饮食模式指数(自变量)与每个蛋白质组学和代谢组学标志物(因变量)相关联。在 1373 种蛋白质中;有 103 种与至少一种饮食模式相关(48 种与 AHEI 相关;83 种与 DASH 相关;8 种与 MDS 相关;所有错误发现率 [FDR]≤0.05)。我们发现饮食模式和蛋白质之间存在独特的关联(17 种与 AHEI 相关;52 种与 DASH 相关;3 种与 MDS 相关;所有 FDR≤0.05)。显著的蛋白质富集了与细胞代谢/增殖和免疫反应/炎症相关的生物途径。在 216 种代谢物中;有 65 种与至少一种饮食模式相关(38 种与 AHEI 相关;43 种与 DASH 相关;50 种与 MDS 相关;所有 FDR≤0.05)。所有三种饮食模式都与 24 种代谢物的共同特征相关(63%为脂质)。与饮食模式相关的蛋白质和代谢物可能有助于描述中间表型,这些表型提供了对介导与饮食相关疾病的分子机制的深入了解。我们的研究结果需要在独立人群中进行复制。