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Comparing Inflammatory Biomarkers in Cardiovascular Disease: Insights from the LURIC Study

Angela P. Moissl, Graciela E. Delgado, Hubert Scharnagl, R. Siekmeier, Bernhard K. Krämer, Daniel Duerschmied, Winfried März, Marcus E. Kleber

2025International Journal of Molecular Sciences8 citationsDOIOpen Access PDF

Abstract

Inflammatory biomarkers, including high-sensitivity C-reactive protein (hsCRP), serum amyloid A (SAA), and interleukin-6 (IL-6), have been associated with an increased risk of future cardiovascular events. While they provide valuable prognostic information, these associations do not necessarily imply a direct causal role. The combined prognostic utility of these markers, however, remains insufficiently studied. We analysed 3300 well-characterised participants of the Ludwigshafen Risk and Cardiovascular Health (LURIC) study, all of whom underwent coronary angiography. Participants were stratified based on their serum concentrations of hsCRP, SAA, and IL-6. Associations between biomarker combinations and mortality were assessed using multivariate Cox regression and ROC analysis. Individuals with elevated hsCRP and SAA or IL-6 showed higher prevalence rates of coronary artery disease, heart failure, and adverse metabolic traits. These "both high" groups had lower estimated glomerular filtration rate, higher NT-proBNP, and increased HbA1c. Combined elevations of hsCRP and SAA were significantly associated with higher all-cause and cardiovascular mortality in partially adjusted models. However, these associations weakened after adjusting for IL-6. IL-6 alone demonstrated the highest predictive power (AUC: 0.638) and improved risk discrimination when included in multi-marker models. The co-elevation of hsCRP, SAA, and IL-6 identifies a high-risk phenotype characterised by greater cardiometabolic burden and increased mortality. IL-6 may reflect upstream inflammatory activity and could serve as a therapeutic target. Multi-marker inflammatory profiling holds promise for refining cardiovascular risk prediction and advancing personalised prevention strategies.

Topics & Concepts

DiseaseInflammationMedicineBioinformaticsComputational biologyInternal medicineBiologyAtherosclerosis and Cardiovascular DiseasesAdipokines, Inflammation, and Metabolic DiseasesBiomarkers in Disease Mechanisms