biostudies-literatureSaeed ANCATS NIH HHSNHLBI NIH HHS105551https://www.ebi.ac.uk/biostudies/studies/S-EPMC11764641biostudies-literatureUnknown112<h4>Background</h4>Preclinical data have shown that low levels of metabolites with anti-inflammatory properties may impact metabolic disease processes. However, the association between mid-life levels of such metabolites and long-term ASCVD risk is not known.<h4>Methods</h4>We characterised the plasma metabolomic profile (1228 metabolites) of 1852 participants (58.1 ± 7.5 years old, 69.6% female, 43.6% self-identified as Black) enrolled in the Heart Strategies Concentrating on Risk Evaluation (Heart SCORE) study. Logistic regression was used to assess the impact of metabolite levels on ASCVD risk (nonfatal MI, revascularisation, and cardiac mortality). We additionally explored the effect of genetic variants neighbouring ASCVD-related genes on the levels of metabolites predictive of ASCVD eEBioMedicineMid-life anti-inflammatory metabolites are inversely associated with long-term cardiovascular disease events.PMC11764641R01 HL089292R01 HL141824R01 HL168683UL1 TR001857Duan JMapstone MReis SEVu MBallantyne CMLopez OLMcKennan CFinegold DCohen AYu BYang YNSwanson JSaeed AKip KEfalseMid-life anti-inflammatory metabolites are inversely associated with long-term cardiovascular disease events.<h4>Background</h4>Preclinical data have shown that low levels of metabolites with anti-inflammatory properties may impact metabolic disease processes. However, the association between mid-life levels of such metabolites and long-term ASCVD risk is not known.<h4>Methods</h4>We characterised the plasma metabolomic profile (1228 metabolites) of 1852 participants (58.1 ± 7.5 years old, 69.6% female, 43.6% self-identified as Black) enrolled in the Heart Strategies Concentrating on Risk Evaluation (Heart SCORE) study. Logistic regression was used to assess the impact of metabolite levels on ASCVD risk (nonfatal MI, revascularisation, and cardiac mortality). We additionally explored the effect of genetic variants neighbouring ASCVD-related genes on the levels of metabolites predictive of ASCVD e2025-01-01T00:00:00Z2025 Feb2026-06-02T17:25:35.26Z2025-04-19T18:20:05.833ZS-EPMC117646413979347910.1016/j.ebiom.2024.105551