High-Sensitivity C-Reactive Protein and Residual Inflammatory Risk in Coronary Artery Disease: The Pathophysiology, Prognosis, and Emerging Therapies

Inflammation plays a crucial role in the initiation, progression, and destabilization of atherosclerotic plaques and it contributes to recurrent cardiovascular events in patients with coronary artery disease (CAD). High-sensitivity C-reactive protein (hsCRP) is a well-established biomarker of systemic inflammation and it is a predictor of adverse outcomes, independent of low-density lipoprotein cholesterol (LDL-C) levels. Elevated hsCRP levels are consistently associated with higher event rates in both chronic and acute coronary syndromes, thus reflecting the residual inflammatory risk not addressed by lipid-lowering therapy or revascularization. Imaging studies have revealed that higher hsCRP levels correlate with a greater plaque burden and vulnerability. Recent trials have shown that anti-inflammatory therapies, including low-dose colchicine and interleukin-6 inhibition, can reduce this residual risk, while agents such as glucagon-like peptide-1 receptor agonists, sodium-glucose cotransporter 2 inhibitors, and bempedoic acid offer additional anti-inflammatory effects. The integration of anti-inflammatory strategies with intensive lipid management may thus provide additional cardiovascular benefits.

Authors

Institutions

Publication Details

Journal
Journal of Atherosclerosis and Thrombosis
Published
2025-09-17
DOI
https://doi.org/10.5551/jat.rv22044
Citations
2
Primary Topic
Adipokines, Inflammation, and Metabolic Diseases
Type
article
Field-Weighted Citation Impact
2.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-Sensitivity C-Reactive Protein and Residual Inflammatory Risk in Coronary Artery Disease: The Pathophysiology, Prognosis, and Emerging Therapies

Masahiro Katamine, Yoshiyasu Minami, J Ako
2 citations
Journal of Atherosclerosis and Thrombosis
Adipokines, Inflammation, and Metabolic Diseases
2.71
article

High-Sensitivity C-Reactive Protein and Residual Inflammatory Risk in Coronary Artery Disease: The Pathophysiology, Prognosis, and Emerging Therapies

Masahiro Katamine, Yoshiyasu Minami, J Ako
article en
2 citations

Abstract

Inflammation plays a crucial role in the initiation, progression, and destabilization of atherosclerotic plaques and it contributes to recurrent cardiovascular events in patients with coronary artery disease (CAD). High-sensitivity C-reactive protein (hsCRP) is a well-established biomarker of systemic inflammation and it is a predictor of adverse outcomes, independent of low-density lipoprotein cholesterol (LDL-C) levels. Elevated hsCRP levels are consistently associated with higher event rates in both chronic and acute coronary syndromes, thus reflecting the residual inflammatory risk not addressed by lipid-lowering therapy or revascularization. Imaging studies have revealed that higher hsCRP levels correlate with a greater plaque burden and vulnerability. Recent trials have shown that anti-inflammatory therapies, including low-dose colchicine and interleukin-6 inhibition, can reduce this residual risk, while agents such as glucagon-like peptide-1 receptor agonists, sodium-glucose cotransporter 2 inhibitors, and bempedoic acid offer additional anti-inflammatory effects. The integration of anti-inflammatory strategies with intensive lipid management may thus provide additional cardiovascular benefits.

Journal of Atherosclerosis and ThrombosisVol. 33(1)
Kitasato University (JP)
Openalex Percentile: Top 9%
Adipokines, Inflammation, and Metabolic Diseases
2.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.