Socioeconomic disparity in cardiovascular disease: a proteomic approach

Abstract Background and purpose A large unexplained social disparity in the occurrence of cardiovascular disease (CVD) has been documented. The precise mechanism behind these disparities is largely unknown. Biomarkers have improved our understanding pathophysiology CVD. In this study we investigated differences 184 biomarkers linked to CVD, with aim underlying mechanisms socioeconomic CVD explore potential preventive measures. Methods We included 1144 participants from Copenhagen City Heart Study, age 55- 64 years, without known Socioeconomic position (SEP) was defined by educational length years. Blood samples were obtained analyzed two proteomics panels (CVD panel II III) a total protein biomarkers. Associations between SEP Pearson correlation coefficient linear regression multivariate adjustment for risk factors. Results Median 10 (IQR 7–11) Of measured 53 significantly correlated (p value <0.05) length, 17 positively 36 negatively (fig. 1). After adjusting gender, 41 after 14 remained associated length. Some strongest negative associations seen Leptin (LEP), Von Willebrand factor (vWF), Interleukin-6 (IL6), Fibroblast growth 21 (FGF21), Renin (REN) Growth/differentiation 15 (GDF_15) while positive Growth Hormone (GH), Receptor advanced glycosylation end products (RAGE) Myoglobin (MB) 2). Conclusion elevated levels multiple range indicate that pathways involving inflammation (IL6, LEP, RAGE), platelet-activation (vWF, IL6, blood pressure (REN, LEP), MAPK cascade (GDF_15, FGF21, REN, GH) weigh (LEP) regulation contribute gradient Further exploration needed identify possible candidates intervention. Funding Acknowledgement Type funding sources: Public hospital(s). Main source(s): Department Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark.