Proteomic and Metabolomic Correlates of Healthy Dietary Patterns: The Framingham Heart Study

Nutrients. 2020 May 19;12(5):1476. doi: 10.3390/nu12051476.

Abstract

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 (n = 1713) and metabolomic (n = 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.

Keywords: biomarker; diet quality; dietary patterns; metabolomic; proteomic.

Publication types

  • Evaluation Study

MeSH terms

  • Cross-Sectional Studies
  • Diet Surveys
  • Diet, Healthy / statistics & numerical data*
  • Diet, Mediterranean / statistics & numerical data*
  • Dietary Approaches To Stop Hypertension / statistics & numerical data*
  • Eating / physiology*
  • Female
  • Humans
  • Linear Models
  • Longitudinal Studies
  • Male
  • Metabolome*
  • Metabolomics
  • Middle Aged
  • Proteome / analysis*
  • Proteomics

Substances

  • Proteome