Abstract 4366671: Distinct Lipodomic Signatures Identify Imaging-Defined Vulnerable Coronary Plaques in Patients with Myocardial Infarction

Background: Non-invasive identification of high-risk coronary atherosclerosis remains a major clinical challenge. Lipidomics offers a promising tool to uncover metabolic signatures associated with plaque vulnerability and improve early risk assessment. Aim: To investigate the relationship between circulating lipid metabolites and imaging-derived characteristics of vulnerable coronary plaques. Method: In the multicentre PROSPECT II trial, 898 patients with recent myocardial infarction underwent three-vessel near-infrared spectroscopy and intravascular ultrasound (NIRS-IVUS) imaging after revascularization. Non-flow limiting plaques were assessed for lipid core burden index (LCBI) and plaque burden (PB). Plasma samples were analyzed for 424 lipid metabolites using untargeted mass spectrometry. Associations between lipids and the three imaging outcomes; Pan-coronary PB, Pan-coronary lipid and High-risk vulnerable plaque (maxLCBI4mm ≥324.7 + PB ≥70%) were evaluated using multivariable models. The Benjamini-Hochberg procedure was applied to control the false discovery rate (FDR) and findings were validated in the SCAPIS cohort using the outcomes Segment Involvement Score (SIS) and Coronary Artery Calcium Score (CACS). Results: Sphingomyelins demonstrated robust and consistent inverse associations with all three imaging-defined plaque characteristics, with the strongest signal observed for Pan-coronary lipid, which remained statistically significant after FDR adjustment ( q < 0,05). In contrast, 1-palmitoyl-2-oleoyl-GPE (16:0/18:1), a phosphatidylethanolamine, showed strong positive associations across all plaque metrics, remaining significant after multiple testing for Pan-coronary lipid. These results were replicated in the SCAPIS cohort where similar trends were observed. Conclusion: Lower circulating levels of sphingomyelins are linked to greater lipid core and plaque burden, suggesting a protective or regulatory role in plaque stability. Conversely, elevated levels of 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) may reflect or contribute to a pro-atherogenic lipid environment. These distinct lipid signatures may aid in early, non-invasive identification of vulnerable coronary plaques and offer insight into lipid-driven mechanisms of plaque destabilization.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4366671
Primary Topic
Cardiovascular Disease and Adiposity
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article
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article

Abstract 4366671: Distinct Lipodomic Signatures Identify Imaging-Defined Vulnerable Coronary Plaques in Patients with Myocardial Infarction

Gary S. Mintz, Michael Mæng, Jonas Persson, Lars Kjøller‐Hansen et al.
Circulation
Cardiovascular Disease and Adiposity
article

Abstract 4366671: Distinct Lipodomic Signatures Identify Imaging-Defined Vulnerable Coronary Plaques in Patients with Myocardial Infarction

Gary S. Mintz, Michael Mæng, Jonas Persson, Lars Kjøller‐Hansen, Ziad A. Ali, Ori Ben‐Yehuda, Gregg W. Stone, Tania Sharma, Ole Fröbert, Rune Wiseth, Thomas Engstrøm, Rebecca Tremain Rylance, Alf Inge Larsen, Stefan Karl James, David Erlinge, Akiko Maehara, Mitsuaki Matsumura, Sasha M. Koul
article en

Abstract

Background: Non-invasive identification of high-risk coronary atherosclerosis remains a major clinical challenge. Lipidomics offers a promising tool to uncover metabolic signatures associated with plaque vulnerability and improve early risk assessment. Aim: To investigate the relationship between circulating lipid metabolites and imaging-derived characteristics of vulnerable coronary plaques. Method: In the multicentre PROSPECT II trial, 898 patients with recent myocardial infarction underwent three-vessel near-infrared spectroscopy and intravascular ultrasound (NIRS-IVUS) imaging after revascularization. Non-flow limiting plaques were assessed for lipid core burden index (LCBI) and plaque burden (PB). Plasma samples were analyzed for 424 lipid metabolites using untargeted mass spectrometry. Associations between lipids and the three imaging outcomes; Pan-coronary PB, Pan-coronary lipid and High-risk vulnerable plaque (maxLCBI4mm ≥324.7 + PB ≥70%) were evaluated using multivariable models. The Benjamini-Hochberg procedure was applied to control the false discovery rate (FDR) and findings were validated in the SCAPIS cohort using the outcomes Segment Involvement Score (SIS) and Coronary Artery Calcium Score (CACS). Results: Sphingomyelins demonstrated robust and consistent inverse associations with all three imaging-defined plaque characteristics, with the strongest signal observed for Pan-coronary lipid, which remained statistically significant after FDR adjustment ( q < 0,05). In contrast, 1-palmitoyl-2-oleoyl-GPE (16:0/18:1), a phosphatidylethanolamine, showed strong positive associations across all plaque metrics, remaining significant after multiple testing for Pan-coronary lipid. These results were replicated in the SCAPIS cohort where similar trends were observed. Conclusion: Lower circulating levels of sphingomyelins are linked to greater lipid core and plaque burden, suggesting a protective or regulatory role in plaque stability. Conversely, elevated levels of 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) may reflect or contribute to a pro-atherogenic lipid environment. These distinct lipid signatures may aid in early, non-invasive identification of vulnerable coronary plaques and offer insight into lipid-driven mechanisms of plaque destabilization.

CirculationVol. 152(Suppl_3)
Uppsala University (SE), University of Copenhagen (DK), NewYork–Presbyterian Hospital (US), Lund University (SE), Columbia University Irving Medical Center (US), Stavanger University Hospital (NO), Aarhus University Hospital (DK), Rigshospitalet (DK), Karolinska Institutet (SE), University of California San Diego (US), Zealand University Hospital (DK), Mount Sinai Medical Center (US), St Olav's University Hospital (NO), Örebro University Hospital (SE), New York Foundation (US), Cardiovascular Research Foundation (US)
Openalex Percentile: Top 52%
Cardiovascular Disease and Adiposity
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