Evidence map›Paper›PMID 40503438›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2025

Circulating protein biomarkers and their association with vulnerable plaque characteristics - a PROSPECT II substudy.

Tania Sharma, Akiko Maehara, Michael Maeng, Lars Kjøller-Hansen, Thomas Engstrøm, Ori Ben-Yehuda, Mitsuaki Matsumura, Ole Fröbert, Jonas Persson, Rune Wiseth and 8 more

Abstract read
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In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Circulating-free DNA: A promising tool for early detection of myocardial infarction.International journal of cardiology. Cardiovascular risk and prevention · 2025
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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

18 authors.

Tania SharmaDepartment of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.
Akiko MaeharaNew York-Presbyterian Hospital and Columbia University Irving Medical Center, New York, NY, USA.
Michael MaengDepartment of Cardiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Lars Kjøller-HansenZealand University Hospital, Roskilde, Denmark.
Thomas EngstrømRigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Ori Ben-YehudaCardiovascular Research Foundation, New York, NY, USA.
Mitsuaki MatsumuraCardiovascular Research Foundation, New York, NY, USA.
Ole FröbertOrebro University, Faculty of Health, Orebro, Sweden and Department of Biomedicine, Aarhus University, Denmark.
Jonas PerssonDepartment of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden.
Rune WisethSt Olavs Hospital, Trondheim, Norway.
Alf Inge LarsenStavanger University Hospital, Stavanger, Norway.
Sasha KoulDepartment of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.
Rebecca RylanceDepartment of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.
Gary S MintzCardiovascular Research Foundation, New York, NY, USA.
Ziad A AliCardiovascular Research Foundation, New York, NY, USA.
Stefan K JamesDepartment of Medical Sciences and Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
Gregg W StoneThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
David ErlingeDepartment of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the PROSPECT-II study, near infrared spectroscopy (NIRS) and intravascular ultrasound (IVUS) was used to characterize atherosclerotic plaques in the coronary arteries. NIRS-derived lipid core burden index (LCBI) and IVUS-derived plaque burden (PB) were able to identify plaques strongly associated with adverse cardiovascular events. Aim: Our aim was to identify biomarkers associated with LCBI or PB in the coronary arteries. Methods: 898 patients with recent myocardial infarction underwent percutaneous coronary intervention. Blood samples to analyze plasma levels of 179 proteins associated with cardiovascular disease were procured and a combined NIRS-IVUS catheter was used to analyze the coronary arteries. Adjusted linear regression models were calculated between the biomarkers and the outcomes of interest, adjusted for multiplicity testing. Kaplan-Meier survival curves of biomarkers divided by median were assessed with the log-rank test. Adjusted Cox proportional models were calculated for major adverse cardiovascular events. Results: A total of 24 proteins were associated with PB and 28 proteins with LCBI. Eight of these biomarkers were associated with both increased pan-coronary LCBI and PB; IL-18R1, CSF-1, VEGFA, EN-RAGE, cathepsin D, PCSK9, transferrin receptor protein 1 and OPN. After adjusting for multiplicity, angiopoietin like 3 (ANGPTL3) retained its association with LCBI, and IL-18R1 and CSF-1 retained their association with PB. Conclusion: We were able to identify distinct biomarker patterns associated with PB and LCBI. IL-18R1 and CSF-1 had a strong relationship with PB. ANGPTL3 was associated with lipid rich plaques but not with PB, supporting its role in lipid accumulation and development of vulnerable plaques.

Indexed as

AtherosclerosisLipid rich plaqueMyocardial infarctionPlaque burdenVulnerable plaque

Identifiers

PMID40503438
PMCPMC12155917

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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 OpenQuestion graph.