Evidence map›Paper›PMID 41546994›Full record

ArticleAtherosclerosis2026

Coronary atherosclerotic plaque composition and classification in hypercholesterolemic pigs.

Mingqiao Li, Di Tian, Patrice Delafontaine, Sergiy Sukhanov

Abstract read
In one paragraph

Article in Atherosclerosis, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Mingqiao LiTulane University School of Medicine, Department of Medicine, New Orleans, LA, 70112, USA.
Di TianTulane University School of Medicine, Department of Pathology and Laboratory Medicine, New Orleans, LA, 70112, USA.
Patrice DelafontaineTulane University School of Medicine, Department of Medicine, New Orleans, LA, 70112, USA.
Sergiy SukhanovTulane University School of Medicine, Department of Medicine, New Orleans, LA, 70112, USA.

Funding

CTSA UM1 at the University of Alabama at BirminghamUM1TR004771 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI PATRICE DELAFONTAINE, Orlando M Gutierrez · 2024 to 2026
$29.2M
Insulin-Like Growth Factor-1and AtherosclerosisR01HL070241 · NHLBI · UNIVERSITY OF MISSOURI-COLUMBIA · PI PATRICE DELAFONTAINE · 2003 to 2026
$10.1M
NCATS NIH HHS UM1 TR004771NHLBI NIH HHS R01 HL070241
6 · The paper itself

Abstract

BACKGROUND AND

aimsRapacz pigs with familial hypercholesterolemia (FH pigs) fed with high-fat diet (HFD) develop early atherosclerotic lesions and complex atheromas in coronaries mimicking human coronary atherosclerotic disease (CAD). FH pigs have proven to be an excellent model for basic and pre-clinical atherosclerosis-focused research. However, unlike human atherosclerosis there has been no established classification system for porcine atherosclerosis.

methodsWe isolated 104 plaque-containing coronary fragments from atherosclerotic FH pigs. A set of indices (features) of vessel and plaque morphology were quantified for each plaque, including intima-media ratio, vessel cross-sectional area, necrotic core area and fibrous cap thickness. The unsupervised K-means clustering multi-featured algorithm was used to distinguish coronary plaque groups. Plaque cellular composition was assessed by immunohistochemistry to quantify relative level of smooth muscle-like, endothelial-like and macrophage-like cells. Plaque neovascularization, collagen levels, cell apoptosis, calcification and features of vulnerable plaque were assessed and used as additional numerical criteria for plaque classification and to establish the similarity of porcine plaque to specific types of human lesions.

resultsThe clustering algorithm identified 4 clearly distinguishable plaque groups (A-D). The porcine plaque group A was classified as pre-atheroma and plaque group C-D as advanced atheroma. Our data indicates that porcine plaque group A, B, C and D correspond to human lesions type III (intermediate lesion), type IV (atheroma), type V (fibroatheroma) and type VI (high-risk vulnerable plaque), respectively.

conclusionsOur data demonstrates the suitability of using the FH pig as a pre-clinical model of human-like coronary atherosclerosis with great potential to advance emergent research in the field of CAD, especially in study of vulnerable plaque and in discovery research.

Indexed as

Coronary Artery DiseaseCoronary VesselsHyperlipoproteinemia Type IIPlaque, AtheroscleroticAnimalsApoptosisCluster AnalysisClustering AlgorithmsDiet, High-FatDisease Models, AnimalHumansImmunohistochemistryMacrophagesNecrosisNeovascularization, PathologicSwineAtherosclerotic pigsCoronary atherosclerotic plaqueLarge animal model of atherosclerosisPlaque classificationPlaque morphologyPlaque vulnerabilityRapacz pigs

Identifiers

PMID41546994
PMCPMC12860193

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.