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Thrombosis origin identification of cardioembolism and large artery atherosclerosis by distinct metabolites

Wei Li1,2,3, Xuesong Bai1,3, Jiheng Hao2

  • 1Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Journal of Neurointerventional Surgery
|June 2, 2022
PubMed

Insights

Six distinct metabolites can now differentiate between cardioembolic and large artery atherosclerosis cerebral thrombosis. This finding aids in understanding stroke causes and preventing future events.

Area of Science:

  • Biochemistry
  • Neurology
  • Medical Diagnostics

Background:

  • Diagnosing the origin of cerebral thrombosis is challenging.
  • Distinguishing between cardioembolism (CE) and large artery atherosclerosis (LAA) is crucial for effective treatment.
  • Metabolomic profiling offers a novel approach to identify distinct biomarkers.

Purpose of the Study:

  • To identify distinct metabolites differentiating CE and LAA cerebral thrombi.
  • To develop a predictive model for classifying thrombosis origins using identified metabolites.
  • To enhance understanding of the pathogenesis of different stroke types.

Main Methods:

  • Ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was used to analyze thrombi metabolites.
  • Machine learning classifiers, including random forest (RF), were employed to build and evaluate predictive models.
  • Metabolite data from 26 CE and 22 LAA thrombi were analyzed.

Main Results:

  • Significant differences in metabolite levels and enriched metabolic pathways were observed between CE and LAA thrombi.
  • Six key metabolites were identified as potential predictors for distinguishing thrombosis origins.
  • A random forest model demonstrated high predictive accuracy (AUC=0.889) for classifying thrombosis types.

Conclusions:

  • Six specific metabolites serve as reliable predictors for differentiating cerebral thrombi of CE and LAA origin.
  • These findings contribute to a better understanding of stroke pathogenesis.
  • The identified biomarkers are valuable for secondary stroke prevention strategies.
Abstract

Keywords:
EmbolicStrokeThrombectomyThrombolysis

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