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

Nutrients

ClaryB. Clish¹  RebeccaJ. Song²  Xiang Xu³  RobertE. Gerszten⁴  Debby Ngo⁴  Jiantao Ma⁵  PaulF. Jacques⁶  Vanessa Xanthakis⁷  RamachandranS. Vasan⁷  Laura Corlin⁷  MauraE. Walker⁷ 

[1] Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA;Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA;Department of Mathematics and Statistics, Boston University College of Arts and Sciences, Boston, MA 02215, USA;Division of Cardiovascular Medicine Beth Israel Deaconess Medical Center, Boston, MA 02215, USA;Framingham Heart Study, Framingham, MA 01702, USA;Nutrition Epidemiology and Data Science, Tufts University Friedman School of Nutrition Science and Policy, Boston, MA 02111, USA;Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA;

关键词: dietary patterns;    diet quality;    proteomic;    metabolomic;    biomarker;   

DOI  :  10.3390/nu12051476

来源: DOAJ

【 摘 要 】

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

【 授权许可】

Unknown