Abstract P1098: Serum Metabolites and Heart Failure Risk: the Multi-Ethnic Study of Atherosclerosis and the Rotterdam Study

F Fang Zhu (MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry) A Arjun Sinha (Division of Cardiology, Department of Medicine (A.S., J.W.), Northwestern University, Chicago, IL.) G Goncalo Graca (Imperial College London, London, United Kingdom) I Ian Neeland (University Hospitals - Case Western, Cleveland, Ohio, United States) A Ambarish Pandey I Ioanna Tzoulaki I Ibrahim Karaman R Russell Tracy J Joao AC Lima (JOHNS HOPKINS UNIVERSITY, Timonium, Maryland, United States) S Sanjiv Shah (Northwestern University Feinberg School of Medicine, Chicago) D David Herrington (Wake Forest Baptist Health, Winston-Salem, NC, USA.) M Michael Bancks (Wake Forest Univ School of Medicine, Winston-Salem, North Carolina, United States) M Maryam Kavousi P Philip Greenland (FEINBERG SCH OF MEDICINE, Chicago, Illinois, United States)

Abstract

OBJECTIVE To examine the association between serum metabolites and incident heart failure (HF) and to assess the added value of identified metabolites for 10-year HF risk prediction. Methods: A total of 23,571 serum metabolomic spectral variables were measured using untargeted proton nuclear magnetic resonance ( 1 H NMR) spectroscopy-based method. Participants from Multi-Ethnic Study of Atherosclerosis (MESA) and Rotterdam Study (RS) cohorts with metabolomic profiling data and without prevalent HF at baseline were included. Multivariable Cox proportional hazards models were used to estimate the associations between metabolomic features and incident HF, and we further assessed how adjustment for cardiovascular risk factors attenuated the associations. P values were adjusted for multiple comparisons. Correlations among metabolites were tested. Utility of the metabolites in improving discriminative performance HF risk prediction beyond PREVENT-HF score was assessed using Harrell's c- statistic. Results: A total of 3942 MESA and 1515 RS participants were included, with a median of 15 years follow-up. In MESA, 15 metabolites were significantly associated with incident HF after adjusting for age, sex, race, estimated glomerular filtration rate and lifestyle behaviors, with 5 replicated in RS cohort. However, after further adjusting for diabetes or hypertension, these observed associations lost significance. Several metabolites showed moderate to high correlations with fasting glucose levels. Adding 5 replicated metabolites into the PREVENT-HF score reduced c-statistics in both cohorts, and adding 15 metabolites identified from MESA showed no statistically significant improvements. CONCLUSIONS In 2 cohorts of middle-aged to older adults, 15 1 H NMR measured metabolites were associated with incident HF, but the observed associations were not independent of diabetes or hypertension. Incorporating these metabolites into the PREVENT-HF score did not improve HF risk prediction.

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 (14)

F

Fang Zhu

MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry

A

Arjun Sinha

Division of Cardiology, Department of Medicine (A.S., J.W.), Northwestern University, Chicago, IL.

G

Goncalo Graca

Imperial College London, London, United Kingdom

I

Ian Neeland

University Hospitals - Case Western, Cleveland, Ohio, United States

A

Ambarish Pandey

I

Ioanna Tzoulaki

I

Ibrahim Karaman

R

Russell Tracy

J

Joao AC Lima

JOHNS HOPKINS UNIVERSITY, Timonium, Maryland, United States

S

Sanjiv Shah

Northwestern University Feinberg School of Medicine, Chicago

D

David Herrington

Wake Forest Baptist Health, Winston-Salem, NC, USA.

M

Michael Bancks

Wake Forest Univ School of Medicine, Winston-Salem, North Carolina, United States

M

Maryam Kavousi

P

Philip Greenland

FEINBERG SCH OF MEDICINE, Chicago, Illinois, United States