Impact of biomarkers for endothelial dysfunction and procoagulant state on 10-year cardiovascular risk in Type 2

A Natarajan1, S M Marshall, P J Kesteven

  • 1Department of Cardiology, Essex Cardiothoracic Centre, Basildon, UK.

Insights

Novel biomarkers soluble E-selectin and factor XIIa show significant links to 10-year cardiovascular disease risk in Type 2 diabetes patients. Further research is needed to confirm these findings in larger populations.

Area of Science:

  • Cardiovascular Medicine
  • Endocrinology
  • Biomarker Discovery

Background:

  • Type 2 diabetes mellitus (T2DM) is a major risk factor for cardiovascular disease (CVD).
  • Identifying novel biomarkers for CVD risk in T2DM is crucial for early intervention.
  • Existing risk scores may not fully capture the complex pathophysiology of CVD in T2DM.

Purpose of the Study:

  • To investigate the association between novel biomarkers and the risk of coronary heart disease (CHD) and CVD in patients with T2DM.
  • To evaluate the predictive value of soluble E-selectin, factor XIIa, thrombin-antithrombin III complex, and plasminogen activator inhibitor-1 for incident macrovascular events.

Main Methods:

  • A cohort of 86 T2DM patients without known CHD were assessed.
  • Baseline peripheral blood concentrations of four novel biomarkers were measured.
  • Cox proportional hazard models were used to estimate hazard ratios for 10-year CHD and CVD risk.

Main Results:

  • Soluble E-selectin levels were significantly associated with incident CHD and CVD (HR 2.9 and 2.3, respectively, in multivariable models).
  • Factor XIIa levels were also significantly related to incident CVD (HR 1.3 in multivariable models).
  • Plasminogen activator inhibitor-1 and thrombin-antithrombin III complex did not show significant associations with CVD events.

Conclusions:

  • Soluble E-selectin and factor XIIa are potential novel biomarkers for predicting 10-year macrovascular events in T2DM.
  • These findings suggest a role for these biomarkers in the early detection of CVD risk in diabetic patients.
  • Replication in larger, diverse cohorts is warranted to validate these preliminary results.
Abstract

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