Evidence mapPaperPMID 42345096Full record

ArticleArteriosclerosis, thrombosis, and vascular biology2026

Linking Lipidomics to Vulnerable Coronary Plaques: A PROSPECT II Substudy.

Tania Sharma, Tove Fall, Sergi Sayols-Baixeras, Akiko Maehara, Michael Maeng, Lars Kjøller-Hansen, Thomas Engstrøm, Ori Ben-Yehuda, Mitsuaki Matsumura, Ole Fröbert and 15 more

Abstract read
In one paragraph

Article in Arteriosclerosis, thrombosis, and vascular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Tania SharmaDepartment of Cardiology, Clinical Sciences (T.S., J.G.S., S.K., R.R., D.E.), Lund University, Lund, Sweden.ORCID 0009-0001-8034-609X
Tove FallMolecular Epidemiology, Department of Medical Sciences (T.F., S.S.-B.), Uppsala University, Sweden.ORCID 0000-0003-2071-5866
Sergi Sayols-BaixerasMolecular Epidemiology, Department of Medical Sciences (T.F., S.S.-B.), Uppsala University, Sweden.
Akiko MaeharaNew York-Presbyterian Hospital and Columbia University Irving Medical Center (A.M.).ORCID 0000-0002-1910-8447
Michael MaengDepartment of Cardiology, Department of Clinical Medicine, Aarhus University Hospital (M. Maeng), Aarhus University, Denmark.ORCID 0000-0002-4310-6433
Lars Kjøller-HansenZealand University Hospital, Roskilde, Denmark (L.K.-H.).ORCID 0000-0002-0819-5792
Thomas EngstrømRigshospitalet, University of Copenhagen, Denmark (T.E.).ORCID 0000-0001-5436-9194
Ori Ben-YehudaUniversity of California, San Diego (O.B.-Y., D.E.).ORCID 0000-0001-9199-1660
Mitsuaki MatsumuraCardiovascular Research Foundation, New York, NY (A.M., M. Matsumura).ORCID 0000-0002-2082-0247
Ole FröbertDepartment of Biomedicine (O.F.), Aarhus University, Denmark.ORCID 0000-0002-5846-345X
Jonas PerssonDepartment of Clinical Sciences, Danderyd University Hospital (J.P.), Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-6722-8745
Rune WisethSt. Olav's Hospital, Trondheim, Norway (R.W.).ORCID 0000-0002-5097-4554
Alf Inge LarsenDepartment of Cardiology, Stavanger University Hospital, Norway (A.I.L.).ORCID 0000-0002-9141-0499
J Gustav SmithDepartment of Cardiology, Clinical Sciences (T.S., J.G.S., S.K., R.R., D.E.), Lund University, Lund, Sweden.ORCID 0000-0001-6285-9935
Gunnar EngströmDepartment of Clinical Sciences in Malmö, Lund University, Malmö, Sweden (G.E.).ORCID 0000-0002-8618-9152
Johan ÄrnlövDepartment of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care (J.A.), Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6933-4637
Jan BorénThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and the Department of Cardiology, Sahlgrenska University Hospital, Sweden (J.G.S., J.B.).ORCID 0000-0003-0786-8091
Ramzi Y KhamisNational Heart and Lung Institute, Imperial College London, United Kingdom (T.S., R.Y.K.).ORCID 0000-0003-4119-5193
Sotirios TsimikasDivision of Cardiovascular Medicine, Vascular Medicine Program, Sulpizio Cardiovascular Center, University of California, San Diego (S.T.).ORCID 0000-0001-9834-9494
Sasha KoulDepartment of Cardiology, Clinical Sciences (T.S., J.G.S., S.K., R.R., D.E.), Lund University, Lund, Sweden.
Rebecca RylanceDepartment of Cardiology, Clinical Sciences (T.S., J.G.S., S.K., R.R., D.E.), Lund University, Lund, Sweden.ORCID 0000-0002-5921-3786
Ziad A AliSt. Francis Hospital, Roslyn, NY (Z.A.A.).ORCID 0000-0002-2482-3197
Stefan K JamesDepartment of Medical Sciences and Uppsala Clinical Research Center (S.K.J.), Uppsala University, Sweden.ORCID 0000-0003-4413-9736
Gregg W StoneIcahn School of Medicine at Mount Sinai, New York City, NY (G.W.S.).ORCID 0000-0002-3416-8210
David ErlingeDepartment of Cardiology, Clinical Sciences (T.S., J.G.S., S.K., R.R., D.E.), Lund University, Lund, Sweden.ORCID 0000-0003-3042-5766

Funding

Translating Lp(a) biology to clinical applicationsR01HL159156 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2025 to 2025
$628k
NHLBI NIH HHS R01 HL159156
6 · The paper itself

Abstract

backgroundLipidomics, 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.

methodsFollowing 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.

resultsWe identified 156 significant associations (

conclusionsThis 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.

Indexed as

Coronary Artery DiseaseCoronary VesselsLipidomicsLipidsPlaque, AtheroscleroticAgedBiomarkersComputed Tomography AngiographyCoronary AngiographyFemaleHumansMaleMiddle AgedMyocardial InfarctionPredictive Value of TestsProspective StudiesBiomarkersLipidsSphingomyelinsatherosclerosiscoronary plaque vulnerabilityischaemic heart diseaselipidomicspercutaneous coronary interventionsphingomyelin

Identifiers

PMID42345096
PMCPMC13313029

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.