Socioeconomic disparity in cardiovascular disease: Possible biological pathways based on a proteomic approach.

Large social disparities in the occurrence of cardiovascular disease (CVD) have been documented but the underlying biological mechanisms are largely unknown. We investigated a panel of biomarkers linked to CVD to improve our understanding and quantify the biological pathways in socioeconomic disparity in CVD and their mediation through behavioural and biological risk factors. We included 1142 participants from the Copenhagen City Heart Study aged 55–64 years. Socioeconomic position (SEP) was defined by the length of education and household income. Blood samples were analysed for 184 biomarkers (Olink). Pearson's correlation analysis and linear regression with multivariate adjustment for CVD risk factors were performed. The median length of education was 10 (IQR 7–11) years and associated with age, sex, BMI, smoking, blood pressure, physical activity and income. 48 biomarkers were significantly correlated (p < 0.05) to the length of education. The strongest negative associations were seen for interleukin-6 (IL-6), metalloproteinase 12, growth/differentiation factor 15 (GDF-15), retinoic acid receptor responder protein 2 (RARRES2), leptin (LEP), von Willebrand factor (vWF), and renin (REN) (all p < 0.0001) while the strongest positive associations were seen for chymotrypsin, paraoxonase, epidermal growth factor receptor (EGFR) and brother of CDO (cell adhesion and platelet activation) (all p < 0.001). Proportion mediated by CVD risk factors ranged from <1% to 100%. After multivariate adjustment, 14 biomarkers remained significantly associated with education. SEP was associated with multiple biomarkers, indicating pathways involving inflammation (IL-6, RARRES2), platelet-activation (vWF, IL-6), blood pressure (REN, LEP) and Mitogen-activated protein kinase cascade (GDF-15, EGFR) may contribute to the socioeconomic differences in CVD. [Display omitted] • We found 48 of 184 CVD biomarkers to be significantly associated with level of education and income. • Some of the associations were explained by differences in risk factors whereas others were not. • The strongest associations were seen for IL-6, MMP-12, GDF-15, RARRES2, leptin, vWF and renin. • SEP was associated with pathways involving inflammation, platelet activation, blood pressure regulation and MAPK cascade. [ABSTRACT FROM AUTHOR]