Deep Vein Thrombosis Exhibits Characteristic Serum and Vein Wall Metabolic Phenotypes in the Inferior Vena Cava Ligation Mouse Model

Eur J Vasc Endovasc Surg. 2018 May;55(5):703-713. doi: 10.1016/j.ejvs.2018.01.027. Epub 2018 Mar 8.

Abstract

Objectives: Deep vein thrombosis (DVT) is a major health problem, responsible for significant morbidity and mortality. The identification of a simple and effective diagnostic biomarker of DVT remains a challenge. Metabolomics have recently emerged as a new powerful scientific tool to characterise metabolic phenotypes of complex diseases and investigate small molecules in biofluids. The aim of the study was to identify the blood and vein wall metabolomic signature of DVT in a murine experimental model.

Methods: An established inferior vena cava ligation mouse model of DVT (n=10) was used and compared with sham surgery controls (n=10). Comprehensive untargeted metabolic profiling of serum and vein wall extracts was undertaken using liquid chromatography coupled mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) spectroscopy.

Results: Multivariate and univariate statistical analysis demonstrated a differential metabolic profile when comparing DVT mice and control animals. Serum from DVT mice was characterised by differential concentrations of adenosine (decreased in DVT mice 9.6 fold), adenine (decreased 10.6 fold), and tricyclic acid cycle (TCA) intermediates, including citrate, succinate, and fumarate (1.5, 2.3, and 2.8 fold decreases, respectively). l-carnitine was found to be of greater abundance in the serum of DVT animals (67.0 fold change). A number of lipid moiety classes, including sphingomyelins, phosphatidylcholines, and triglycerides, were differentially abundant. Several metabolites were found in vein wall, including acetylcarnitine (increased in DVT mice 1.9 fold), adenosine (increased 2.2 fold), and ceramide (increased 2.7 fold). Correlation analysis illustrated the biochemical relationships between assigned metabolites, with the discriminatory molecules being highly correlated with each other, in both serum and vein wall.

Conclusions: The present findings demonstrate that metabolic dysregulations in DVT centre on energy metabolism, sphingolipid, and adenosine metabolism, representing a DVT specific metabolite signature in a murine experimental model.

Keywords: Animal model; Biomarkers; Deep vein thrombosis; Metabolic profiling; Metabolomics; Venous thromboembolism.

MeSH terms

  • Acetylcarnitine / blood
  • Acetylcarnitine / metabolism
  • Adenosine / blood
  • Adenosine / metabolism
  • Animals
  • Biomarkers* / blood
  • Biomarkers* / metabolism
  • Chromatography, Liquid / methods
  • Disease Models, Animal
  • Energy Metabolism
  • Magnetic Resonance Spectroscopy / methods
  • Metabolomics / methods*
  • Mice
  • Sphingomyelins / blood
  • Sphingomyelins / metabolism
  • Statistics as Topic
  • Succinic Acid / blood
  • Succinic Acid / metabolism
  • Vena Cava, Inferior / metabolism*
  • Venous Thrombosis / blood*
  • Venous Thrombosis / diagnosis

Substances

  • Biomarkers
  • Sphingomyelins
  • Acetylcarnitine
  • Succinic Acid
  • Adenosine