Usefulness of Certain Protein Biomarkers for Prediction of Coronary Heart Disease.

Identification of biomarkers can help monitor and prevent cardiovascular disease (CVD) risk. We performed an exploratory analysis to identify potential biomarkers for coronary heart disease (CHD) in participants from the Life Conditions, Stress, and Health study. A total of 1,007 participants (50% women), randomly selected from the general population, were followed for incident CHD at 8 and 13 years of follow-up. Plasma levels of 184 CVD-related biomarkers were measured in samples collected at baseline in 86 cases with CHD and 184 age- and sex-matched controls by proximity extension assay. Biomarker levels were presented as normalized protein expression values (log 2 scale). After adjusting for confounding factors, 6 biomarkers showed significant association with incident CHD at 13 years. In a sensitivity analysis, this association remained significant at 8 years for 3 biomarkers; collagen α-1(I) chain (COL1A1), bone morphogenetic protein-6 (BMP-6), and interleukin-6 receptor α chain (IL-6Rα). When entering these biomarkers in the full adjustment model simultaneously, their association with incident CHD at 13 years remained significant, hazards ratio being 0.671, 0.335, and 2.854, respectively per unit increase in normalized protein expression values. Subjects with low COL1A1, low BMP-6, and high IL-6Rα levels had a hazards ratio of 5.097 for incident CHD risk (p = 0.019), compared with those without. In conclusion, we identified COL1A1, BMP-6 and IL-6Rα as biomarkers for incident CHD over a long-term follow-up in this exploratory analysis. For COL1A1 and BMP-6 this has not been previously reported. Further studies are needed to confirm our findings and establish their clinical relevance.