Abstract P2113: Metabolomic signatures of Puerto Rican dietary patterns and associations with cardiometabolic risk

T Tong Xia (Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering) K Kaumudi Joshipura (Ahmedabad University, Ahmedabad, Gujarat, India) S Sona Rivas-Tumanyan (UPR SCHOOL OF DENTAL MEDICINE, Carolina, Puerto Rico, United States) K Katherine Tucker (UNIVERSITY OF MASSACHUSETTS LOWELL, Lowell, Massachusetts, United States) S Sabrina Noel (UNIVERSITY OF MASSACHUSETTS LOWELL, Lowell, Massachusetts, United States) L Liming Liang F Frank Hu (HARVARD SCHOOL OF PUBLIC HEALTH, Boston, Massachusetts, United States) D Danielle Haslam (Brigham and Womens Hospital, Canton, Massachusetts, United States) S Shilpa Bhupathiraju (CHANNING DIV NETWORK MEDICINE, Boston, Massachusetts, United States)

Abstract

Introduction: Puerto Ricans on the US mainland have poor diet quality linked to adverse cardiometabolic risk, but underlying mechanisms are unclear. Hypothesis: Plasma metabolomic signatures reflect Puerto Rican diet patterns and are associated with cardiometabolic risk independent of diet. Methods: We used LC/MS to measure 714 plasma metabolites in 722 participants (45-75 y) [n=372 with type 2 diabetes (T2D); n=346 without T2D; n=4 with T2D missing] in the Boston Puerto Rican Health Study. Diet was assessed using an ethnic-specific validated food frequency questionnaire (FFQ). We identified diet patterns using principle component analysis (PCA) and diet-related metabolomic signatures via elastic net regression. We assessed cross-sectional and prospective associations of baseline metabolomic signatures with baseline and 5-year changes in cardiometabolic risk using linear regression, adjusting for confounders and FFQ/PCA derived diet scores. Baseline risk factors were log-transformed and back-transformed for reporting. We applied a false discovery rate (FDR<0.05) for multiple testing correction. We tested for interaction by T2D status (p<0.05). Results: We identified three distinct diet patterns: oils, rice, and beans (traditional); meat, processed meat, and French fries (meat/fries); and sweetened beverages, candy, and soft drinks (sweets). Metabolomic signatures for meat/fries (47 metabolites, r=0.39-0.43) and sweets (51 metabolites, r=0.15-0.34), but not traditional (45 metabolites, r=0.08-0.13) pattern, were significantly correlated (p<0.05) with their respective FFQ/PCA derived diet scores. Cross-sectionally, the meat/fries metabolomic signature (per SD) was associated with a 1.2% (95% CI: 0.5% to 2.0%) higher waist circumference (WC, cm) among overall participants, a 6% (3%-10%) higher homocysteine (umol/L) only among those without T2D, and a 10% (5%-16%) higher glucose (mg/dl) among those with T2D. The sweets signature (per SD) was linked to a 9% (4%-13%) higher low-density lipoprotein cholesterol (mg/dl) and a 4% (2%-6%) lower glycated hemoglobin (%) only in those with T2D. Prospectively, the meat/fries metabolomic signature (per SD) was positively associated with a mean increase in WC over time [β=0.87, 95%CI (0.37-1.38)] in those without T2D. All FDRs were <0.05. Conclusions: Metabolomic signatures for meat/fries and sweets diet patterns identified among Puerto Ricans were associated with distinct cardiometabolic risk profiles, varying by T2D status.

Article Details

Journal Circulation
Volume / Issue Vol. 151, Issue Suppl_1
Published March 11, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (9)

T

Tong Xia

Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering

K

Kaumudi Joshipura

Ahmedabad University, Ahmedabad, Gujarat, India

S

Sona Rivas-Tumanyan

UPR SCHOOL OF DENTAL MEDICINE, Carolina, Puerto Rico, United States

K

Katherine Tucker

UNIVERSITY OF MASSACHUSETTS LOWELL, Lowell, Massachusetts, United States

S

Sabrina Noel

UNIVERSITY OF MASSACHUSETTS LOWELL, Lowell, Massachusetts, United States

L

Liming Liang

F

Frank Hu

HARVARD SCHOOL OF PUBLIC HEALTH, Boston, Massachusetts, United States

D

Danielle Haslam

Brigham and Womens Hospital, Canton, Massachusetts, United States

S

Shilpa Bhupathiraju

CHANNING DIV NETWORK MEDICINE, Boston, Massachusetts, United States