Integrative metabolomics differentiate coronary artery disease, peripheral artery disease, and venous thromboembolism

Jiwoo Lee1,2, Thomas Gilliland1,2, Satoshi Koyama1

  • 1Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA.

Insights

This study reveals overlapping metabolomic profiles in arterial and venous cardiovascular diseases. Remnant cholesterol plays a key role in arterial diseases like coronary artery disease and peripheral artery disease, but not venous thromboembolism.

Area of Science:

  • Cardiovascular Science
  • Metabolomics
  • Genetics

Background:

  • Arterial and venous cardiovascular diseases share genetic correlations, suggesting common underlying mechanisms.
  • Understanding distinct and overlapping pathways in coronary artery disease (CAD), peripheral artery disease (PAD), and venous thromboembolism (VTE) is crucial for novel therapeutic targets.

Approach:

  • Utilized UK Biobank metabolomic data from 95,402 individuals to assess epidemiologic associations between 249 metabolites and incident CAD, PAD, and VTE.
  • Employed bidirectional two-sample Mendelian randomization (MR) and multivariable MR (MVMR) to investigate causal genetic relationships between metabolites and these cardiovascular conditions.

Key Points:

  • 194, 111, and 69 metabolites showed epidemiologic links to CAD, PAD, and VTE, respectively, with varying degrees of overlap between disease pairs.
  • MR identified 28 metabolites associated with increased risk for both CAD and PAD, and 2 for CAD but decreased risk for VTE.
  • MVMR highlighted shared causal effects of metabolites, particularly remnant cholesterol in very-low-density lipoprotein particles, on CAD and PAD.

Conclusions:

  • Overlapping metabolomic profiles exist between arterial and venous cardiovascular diseases.
  • Remnant cholesterol is implicated as a causal factor in arterial diseases (CAD, PAD) but not in venous thromboembolism.
  • Metabolomic profiling and MR provide insights into shared and distinct etiological pathways for cardiovascular diseases.
Abstract

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