Key result
IL-18R1 and CSF-1 link to coronary plaque burden while ANGPTL3 associates with lipid-rich plaques.
Why the study?
In PROSPECT II, NIRS-derived LCBI and IVUS-derived PB identified plaques linked to adverse cardiovascular events, but circulating biomarkers associated with these vulnerable plaque characteristics remained to be identified.
Are specific circulating protein biomarkers associated with vulnerable plaque characteristics (LCBI and PB) in patients with recent myocardial infarction?
Observational (n=898)
Are specific circulating protein biomarkers associated with vulnerable plaque characteristics (LCBI and PB) in patients with recent myocardial infarction?
Answers are grounded in this paper and cite their sources.
Specific circulating protein biomarkers, including ANGPTL3, IL-18R1, and CSF-1, are associated with vulnerable plaque characteristics such as lipid core burden and plaque burden in patients with recent myocardial infarction.
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.
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Sharma et al. (2025) conducted an observational in Recent myocardial infarction (n=898). Circulating protein biomarkers was evaluated on Association with NIRS-derived lipid core burden index (LCBI) or IVUS-derived plaque burden (PB). Circulating proteins IL-18R1 and CSF-1 were strongly associated with coronary plaque burden, while ANGPTL3 was associated with lipid-rich plaques (LCBI) but not plaque burden.
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