TY - JOUR
T1 - Linking Lipidomics to Vulnerable Coronary Plaques
T2 - A PROSPECT II Substudy
AU - Sharma, Tania
AU - Fall, Tove
AU - Sayols-Baixeras, Sergi
AU - Maehara, Akiko
AU - Maeng, Michael
AU - Kjøller-Hansen, Lars
AU - Engstrøm, Thomas
AU - Ben-Yehuda, Ori
AU - Matsumura, Mitsuaki
AU - Fröbert, Ole
AU - Persson, Jonas
AU - Wiseth, Rune
AU - Larsen, Alf Inge
AU - Smith, J Gustav
AU - Engström, Gunnar
AU - Ärnlöv, Johan
AU - Borén, Jan
AU - Khamis, Ramzi
AU - Tsimikas, Sotirios
AU - Koul, Sasha
AU - Rylance, Rebecca
AU - Ali, Ziad A
AU - James, Stefan K
AU - Stone, Gregg W
AU - Erlinge, David
PY - 2026/8
Y1 - 2026/8
N2 - BACKGROUND: Lipidomics, the comprehensive profiling of circulating lipid species, has emerged as a powerful tool to investigate metabolic alterations underlying coronary atherosclerosis. Understanding the mechanisms driving high-risk vulnerable plaque formation and progression to myocardial infarction remains a key therapeutic priority. This study investigates associations between circulating lipid metabolites and imaging-defined features of vulnerable coronary plaque.METHODS: Following revascularization, patients with myocardial infarction underwent 3-vessel coronary artery imaging with near-infrared spectroscopy and intravascular ultrasound to assess nonflow-limiting plaques for lipid core burden index and plaque burden. Multivariable models evaluated associations between 424 lipid metabolites in plasma, quantified by mass spectrometry, pan-coronary lipid, pan-coronary plaque burden, and high-risk vulnerable plaque measures (maximum lipid core burden index within any 4-mm segment across the entire lesion ≥324.7 and/or plaque burden ≥70%) in 877 patients. Findings were validated in the SCAPIS study (Swedish Cardiopulmonary Bioimage Study) using coronary computed tomography angiography-based measures of coronary artery calcium score and segment involvement score.RESULTS: We identified 156 significant associations (
P<0.05) between lipid metabolites and coronary plaque characteristics across 39 metabolic pathways. Sphingomyelins were inversely associated with all plaque metrics, and 1-palmitoyl-2-oleoyl-GPE (glycero-3-phosphoethanolamine; 16:0/18:1), a phosphatidylethanolamine, was positively associated with all plaque metrics. After correcting for multiple testing, 27 lipid species across 7 pathways remained significant (q<0.05). The majority were linked to pan-coronary lipid burden, with the strongest inverse association observed for sphingomyelin d18:1/22:1, d18:2/22:0, and d16:1/24:1. Similar inverse patterns were seen for select dihydrosphingomyelins and fatty acid dicarboxylates. In contrast, 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) remained positively associated with pan-coronary lipid. In the SCAPIS validation cohort, 19 of the 27 significant lipid associations were successfully replicated (q<0.05).
CONCLUSIONS: This study is the first to demonstrate that sphingomyelins are negatively and 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) positively associated with vulnerable coronary plaque features based on multimodality intracoronary imaging in patients with myocardial infarction. Moreover, these associations were validated in a large cohort using coronary computed tomography angiography-derived measures of plaque burden. These novel results may enable the development of new diagnostic and therapeutic strategies.
AB - BACKGROUND: Lipidomics, the comprehensive profiling of circulating lipid species, has emerged as a powerful tool to investigate metabolic alterations underlying coronary atherosclerosis. Understanding the mechanisms driving high-risk vulnerable plaque formation and progression to myocardial infarction remains a key therapeutic priority. This study investigates associations between circulating lipid metabolites and imaging-defined features of vulnerable coronary plaque.METHODS: Following revascularization, patients with myocardial infarction underwent 3-vessel coronary artery imaging with near-infrared spectroscopy and intravascular ultrasound to assess nonflow-limiting plaques for lipid core burden index and plaque burden. Multivariable models evaluated associations between 424 lipid metabolites in plasma, quantified by mass spectrometry, pan-coronary lipid, pan-coronary plaque burden, and high-risk vulnerable plaque measures (maximum lipid core burden index within any 4-mm segment across the entire lesion ≥324.7 and/or plaque burden ≥70%) in 877 patients. Findings were validated in the SCAPIS study (Swedish Cardiopulmonary Bioimage Study) using coronary computed tomography angiography-based measures of coronary artery calcium score and segment involvement score.RESULTS: We identified 156 significant associations (
P<0.05) between lipid metabolites and coronary plaque characteristics across 39 metabolic pathways. Sphingomyelins were inversely associated with all plaque metrics, and 1-palmitoyl-2-oleoyl-GPE (glycero-3-phosphoethanolamine; 16:0/18:1), a phosphatidylethanolamine, was positively associated with all plaque metrics. After correcting for multiple testing, 27 lipid species across 7 pathways remained significant (q<0.05). The majority were linked to pan-coronary lipid burden, with the strongest inverse association observed for sphingomyelin d18:1/22:1, d18:2/22:0, and d16:1/24:1. Similar inverse patterns were seen for select dihydrosphingomyelins and fatty acid dicarboxylates. In contrast, 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) remained positively associated with pan-coronary lipid. In the SCAPIS validation cohort, 19 of the 27 significant lipid associations were successfully replicated (q<0.05).
CONCLUSIONS: This study is the first to demonstrate that sphingomyelins are negatively and 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) positively associated with vulnerable coronary plaque features based on multimodality intracoronary imaging in patients with myocardial infarction. Moreover, these associations were validated in a large cohort using coronary computed tomography angiography-derived measures of plaque burden. These novel results may enable the development of new diagnostic and therapeutic strategies.
KW - Plaque, Atherosclerotic
KW - Humans
KW - Coronary Artery Disease/diagnostic imaging
KW - Lipidomics/methods
KW - Ultrasonography, Interventional
KW - Female
KW - Male
KW - Middle Aged
KW - Aged
KW - Coronary Angiography/methods
KW - Coronary Vessels/diagnostic imaging
KW - Spectroscopy, Near-Infrared
KW - Rupture, Spontaneous
KW - Sphingomyelins/blood
KW - Predictive Value of Tests
KW - Computed Tomography Angiography
KW - Lipids/blood
KW - Myocardial Infarction/blood
KW - Biomarkers/blood
KW - Risk Factors
KW - Prospective Studies
U2 - 10.1161/ATVBAHA.125.324430
DO - 10.1161/ATVBAHA.125.324430
M3 - Article
C2 - 42345096
SN - 1079-5642
VL - 46
JO - Arteriosclerosis, Thrombosis, and Vascular Biology
JF - Arteriosclerosis, Thrombosis, and Vascular Biology
IS - 8
M1 - e324430
ER -