Abstract P1038: Blood Metabolomic Signatures of Incident Coronary Heart Disease in Racially and Ethnically Diverse Populations

Background: Metabolic perturbation has been characterized in coronary heart disease (CHD), yet the comprehensive metabolic fingerprint of incident CHD and potential racial/ethnical differences remain unclear. Hypothesis: Circulating metabolite alterations are associated with CHD risk, but associations vary across race/ethnicity. Methods: We included 22,566 CHD-free individuals of multi-ethnic groups from 7 studies in the Trans-Omics for Precision Medicine Program ( Fig.a ). Associations between metabolites (1245 named metabolites) and incident CHD were assessed by study/race-specific Cox proportional hazards regression. Results were pooled via random-effect meta-analyses. Results: Over an average of 7.5~17.0 yrs of follow-up 1124 incident CHD cases were recorded. We found that 280 metabolites were associated with incident CHD after adjusting for sociodemographic, behavioral factors, medications use, physical activity, and diet (FDR < 0.05), with over 64% were independent of other major cardiometabolic traits ( Fig.b ). Over 90% of these metabolites showed positive associations, with strongest associations in metabolites of glycerolipids, phosphatidylethanolamine, fatty acids, lactoyl amino acid, histidine, aromatic amino acids, and branched amino acids ( Fig.b ). Race-specific analyses identified 70 metabolites presenting significant race/ethnicity differences (FDR<0.05) in associations with CHD, with 34 being race/ethnicity specific metabolites that were not found in all participants (16 in Blacks, 11 in Whites and 7 in Hispanics; Fig.c-e ). For example, guanidinosuccinate, a known uremic toxin, was associated with increased risk of CHD only in US Hispanics, reinforcing the chronic kidney disease (CKD)-cardiovascular diseases continuum, especially for populations at high risk of CKD. Conclusion: Our study characterized the most comprehensive metabolic signatures of incident CHD and revealed substantial racial differences, further emphasizing the need of multi-ethnic resources to uncover metabolic perturbation underlying CHD.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-03-11
DOI
https://doi.org/10.1161/cir.151.suppl_1.p1038
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract P1038: Blood Metabolomic Signatures of Incident Coronary Heart Disease in Racially and Ethnically Diverse Populations

Eric Boerwinkle, Rozenn N. Lemaître, Lifang Hou, Bing Yu et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract P1038: Blood Metabolomic Signatures of Incident Coronary Heart Disease in Racially and Ethnically Diverse Populations

Eric Boerwinkle, Rozenn N. Lemaître, Lifang Hou, Bing Yu, Matthew Nayor, Taryn Alkis, Jerome I. Rotter, Laura M. Raffield, Megan L. Grove, Robert E. Gerszten, Scott Hutton, Christie Mitchell Ballantyne, Eun Hye Moon, Clary B. Clish, Donald Lloyd-Jones, Vanessa Xanthakis, Kari E. North, Qibin Qi, Stephen S. Rich, Robert C. Kaplan, Τahir Usman, Tao Wang, Kai Luo, Bruce M. Psaty, Kari E. Wong
article en

Abstract

Background: Metabolic perturbation has been characterized in coronary heart disease (CHD), yet the comprehensive metabolic fingerprint of incident CHD and potential racial/ethnical differences remain unclear. Hypothesis: Circulating metabolite alterations are associated with CHD risk, but associations vary across race/ethnicity. Methods: We included 22,566 CHD-free individuals of multi-ethnic groups from 7 studies in the Trans-Omics for Precision Medicine Program ( Fig.a ). Associations between metabolites (1245 named metabolites) and incident CHD were assessed by study/race-specific Cox proportional hazards regression. Results were pooled via random-effect meta-analyses. Results: Over an average of 7.5~17.0 yrs of follow-up 1124 incident CHD cases were recorded. We found that 280 metabolites were associated with incident CHD after adjusting for sociodemographic, behavioral factors, medications use, physical activity, and diet (FDR < 0.05), with over 64% were independent of other major cardiometabolic traits ( Fig.b ). Over 90% of these metabolites showed positive associations, with strongest associations in metabolites of glycerolipids, phosphatidylethanolamine, fatty acids, lactoyl amino acid, histidine, aromatic amino acids, and branched amino acids ( Fig.b ). Race-specific analyses identified 70 metabolites presenting significant race/ethnicity differences (FDR<0.05) in associations with CHD, with 34 being race/ethnicity specific metabolites that were not found in all participants (16 in Blacks, 11 in Whites and 7 in Hispanics; Fig.c-e ). For example, guanidinosuccinate, a known uremic toxin, was associated with increased risk of CHD only in US Hispanics, reinforcing the chronic kidney disease (CKD)-cardiovascular diseases continuum, especially for populations at high risk of CKD. Conclusion: Our study characterized the most comprehensive metabolic signatures of incident CHD and revealed substantial racial differences, further emphasizing the need of multi-ethnic resources to uncover metabolic perturbation underlying CHD.

CirculationVol. 151(Suppl_1)
Broad Institute (US), Boston University (US), Northwestern University (US), University of North Carolina at Chapel Hill (US), Boston Medical Center (US), Albert Einstein College of Medicine (US), Beth Israel Deaconess Medical Center (US), Baylor College of Medicine (US), University of Washington (US), Shoreline Community College (US), Boston University Academy (US), Metabolon (United States) (US), University of Virginia (US), The University of Texas Health Science Center at Houston (US)
Openalex Percentile: Top 87%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.