To Örebro University

oru.seÖrebro universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Circulating protein biomarkers and their association with vulnerable plaque characteristics: a PROSPECT II substudy
Department of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.
New York-Presbyterian Hospital and Columbia University Irving Medical Center, New York NY, USA; Cardiovascular Research Foundation, New York NY, USA.
Department of Cardiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Zealand University Hospital, Roskilde, Denmark.
Vise andre og tillknytning
2025 (engelsk)Inngår i: International Journal of Cardiology: Cardiovascular Risk and Prevention, E-ISSN 2772-4875, Vol. 26, artikkel-id 200440Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Elsevier, 2025. Vol. 26, artikkel-id 200440
Emneord [en]
Vulnerable plaque, Myocardial infarction, Plaque burden, Lipid rich plaque, Atherosclerosis
HSV kategori
Identifikatorer
URN: urn:nbn:se:oru:diva-121504DOI: 10.1016/j.ijcrp.2025.200440ISI: 001500310500001PubMedID: 40503438Scopus ID: 2-s2.0-105005939739OAI: oai:DiVA.org:oru-121504DiVA, id: diva2:1966305
Forskningsfinansiär
Swedish Research CouncilSwedish Heart Lung FoundationTilgjengelig fra: 2025-06-10 Laget: 2025-06-10 Sist oppdatert: 2026-07-02bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstPubMedScopus

Person

Fröbert, Ole

Søk i DiVA

Av forfatter/redaktør
Fröbert, Ole
Av organisasjonen
I samme tidsskrift
International Journal of Cardiology: Cardiovascular Risk and Prevention

Søk utenfor DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 94 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf