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Updated: Oct 3, 2025

Synthesis of Monocyte-targeting Peptide Amphiphile Micelles for Imaging of Atherosclerosis
Published on: November 17, 2017
Blood-Based and Imaging Biomarkers of Atherosclerosis
Kashan Ali1, Chim C Lang1, Jeffrey T J Huang2
1From the Division of Molecular & Clinical Medicine, School of Medicine, Ninewells Hospital & Medical School, University of Dundee, Dundee, UK.
Insights
Atherosclerosis risk prediction can be improved by incorporating novel blood and imaging biomarkers. Research is ongoing to identify and validate these biomarkers for better cardiovascular event prediction and therapy guidance.
Area of Science:
- Cardiovascular Medicine
- Biomarker Discovery
- Medical Imaging
Background:
- Atherosclerosis is a primary cause of arterial thrombosis and acute cardiovascular events.
- Current cardiovascular risk prediction models often lack pathophysiologically relevant biomarkers.
- Emerging biomarkers, including blood-based and imaging markers, show promise for improving risk assessment.
Purpose of the Study:
- To review existing literature on blood-based and imaging biomarkers for atherosclerosis.
- To explore the potential of these biomarkers in enhancing cardiovascular risk prediction models.
- To discuss future directions in biomarker research for cardiovascular disease.
Main Methods:
- Literature review of studies investigating blood-based biomarkers (cardiac stress, inflammation, matrix remodeling, endothelial dysfunction).
- Review of studies on imaging biomarkers for atherosclerosis detection and event prediction.
- Analysis of the potential clinical applicability and pathophysiological relevance of identified biomarkers.
Main Results:
- Numerous blood-based biomarkers targeting known pathophysiological pathways have been investigated.
- Imaging biomarkers demonstrate promising results for atherosclerosis detection and cardiovascular event prediction.
- Multifactorial nature of cardiovascular disease suggests that multiple biomarkers are needed for improved risk models.
Conclusions:
- Blood-based and imaging biomarkers hold significant potential to enhance current cardiovascular risk prediction models.
- Further research into emerging biomarkers is crucial for improving therapy decision-making.
- Integrating multiple biomarkers is likely key to improving discrimination and reclassification in risk prediction.
Abstract:
Atherosclerosis is the main cause of arterial thrombosis, causing acute occlusive cardiovascular syndromes. Numerous risk prediction models have been developed, which mathematically combine multiple predictors, to estimate the risk of developing cardiovascular events. Current risk models typically do not include information from biomarkers that can potentially improve these existing prediction models especially if they are pathophysiologically relevant. Numerous cardiovascular disease biomarkers have been investigated that have focused on known pathophysiological pathways including those related to cardiac stress, inflammation, matrix remodelling, and endothelial dysfunction. Imaging biomarkers have also been studied that have yielded promising results with a potential higher degree of clinical applicability in detection of atherosclerosis and cardiovascular event prediction. To further improve therapy decision-making and guidance, there is continuing intense research on emerging biologically relevant biomarkers. As the pathogenesis of cardiovascular disease is multifactorial, improvements in discrimination and reclassification in risk prediction models will likely involve multiple biomarkers. This article will provide an overview of the literature on potential blood-based and imaging biomarkers of atherosclerosis studied so far, as well as potential future directions.
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