Research
Print page Print page
Switch language
Bispebjerg Hospital - a part of Copenhagen University Hospital
Published

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

Research output: Contribution to journalJournal articleResearchpeer-review

  1. Physical activity in leisure time and at work and risk of dementia: A prospective cohort study of 117,616 individuals

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Elevated lipoprotein(a) in mitral and aortic valve calcification and disease: The Copenhagen General Population Study

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Self-reported and genetically predicted coffee consumption and smoking in dementia: A Mendelian randomization study

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Associations between body mass index trajectories in childhood and cardiovascular risk factors in adulthood

    Research output: Contribution to journalJournal articleResearchpeer-review

  1. Association of Hormone Therapy With Depression During Menopause in a Cohort of Danish Women

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Population-based epidemiology: The Glostrup Population Studies 1964-2021

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Stroke genetics informs drug discovery and risk prediction across ancestries

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Systemic hormone therapy and dementia: A nested case-control and co-twin control study

    Research output: Contribution to journalJournal articleResearchpeer-review

View graph of relations

BACKGROUND AND AIMS: 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.

METHODS: 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.

RESULTS: 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.

CONCLUSIONS: 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.

Original languageEnglish
JournalAtherosclerosis
Volume352
Pages (from-to)62-68
Number of pages7
ISSN0021-9150
DOIs
Publication statusPublished - Jul 2022

Bibliographical note

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

    Research areas

  • Biomarkers, Cardiovascular Diseases/diagnosis, Educational Status, ErbB Receptors, Growth Differentiation Factor 15, Humans, Interleukin-6, Male, Proteomics, Risk Factors, Socioeconomic Factors, von Willebrand Factor/analysis, Cardiovascular disease, Socioeconomic position, Biological pathways, Mediation analysis

ID: 79184479