ArticleFrontiers in cardiovascular medicine2025
The relationships between inflammatory biomarkers, plaque characteristics, and macrophage clusters in coronary plaque: a quantitative assessment of macrophages based on optical coherence tomography.
Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Biological age acceleration predicts mortality and heart failure after acute myocardial infarction in older adults.Journal of geriatric cardiology : JGC · 2026Article
- Current Insights into the Molecular Mechanisms of Intracranial Atherosclerosis and Their Therapeutic Implications.International journal of molecular sciences · 2026Review
- Optical coherence tomography-derived macrophage arc as a novel biomarker for predicting adverse cardiovascular events in coronary artery disease: a multicentre study.European heart journal. Imaging methods and practice · 2026Article
- Prognostic Role and Therapeutic Implications of Intravascular Optical Coherence Tomography Detected Coronary Plaque Microstructures in Patients with Coronary Artery Disease.Journal of clinical medicine · 2025Review
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Authors and funding
7 authors.
Funding
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Abstract
Background: Quantitative assessment of macrophage accumulation is appealing in evaluating plaque inflammation. In optical coherence tomography (OCT) imaging, local macrophage clusters may be a feasible marker for macrophage quantification. Methods: 404 patients presenting with acute coronary syndrome who underwent OCT evaluation were included. This study aims to assess the relationships between systemic inflammatory biomarkers [including monocytes, high-density lipoprotein cholesterol (HDL-C), and monocyte-to-HDL ratio (MHR)], plaque characteristics, and local macrophage clusters in coronary plaque. Results: Macrophage clusters were present in 218 patients, with a median arc value of 72° (50°-163°). Patients with macrophage clusters showed markedly higher levels of inflammatory biomarkers and plaque vulnerability. Multivariate logistic regression analysis demonstrated that MHR, lipid index, and microchannel were independently associated with the presence of macrophage clusters. The DeLong test showed the area under the curve of the above three combined indicators was significantly larger than that of single indicators (0.774 vs. 0.692, 0.665, 0.624, respectively, Conclusions: The macrophage cluster was a valuable index for quantifying local plaque inflammation. MHR, lipid index, and microchannel were independently associated with macrophage clusters. Large macrophage clusters were independently associated with high MHR and high lipid plaque burden.
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