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Early Warning of Ischemic Stroke Based on Atherosclerosis Index Combined With Serum Markers

Wenjie Zhou1, Shanze Li1, Guijiang Sun2

  • 1State Key Laboratory of Component Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tuanbo New City, Jinghai District, Tianjin 301617, China.

The Journal of Clinical Endocrinology and Metabolism
|March 29, 2022
PubMed

Insights

Researchers identified five serum metabolites that, combined with the atherosclerotic index (AI), can aid in early diagnosis of atherosclerosis-induced ischemic stroke (IS). These biomarkers offer new insights into IS pathogenesis and early risk detection.

Area of Science:

  • Biochemistry
  • Clinical Medicine
  • Metabolomics

Background:

  • Ischemic stroke (IS) is a global health concern, often caused by atherosclerosis.
  • Current clinical evaluation of atherosclerosis relies heavily on the atherosclerotic index (AI), with limited selective markers.
  • Lipid metabolism disturbance is a key factor in IS development.

Purpose of the Study:

  • To identify novel serum biomarkers for atherosclerosis-induced IS.
  • To combine identified biomarkers with the atherosclerotic index (AI) for early IS diagnosis.
  • To gain insights into the pathogenesis of IS.

Main Methods:

  • Utilized untargeted metabolomics via ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS).
  • Analyzed serum metabolite changes in patients with IS.
  • Expanded sample size to confirm biomarker reproducibility.

Main Results:

  • Identified five key serum metabolites: sphingomyelin (18:0/14:0), 1-Methylpyrrolinium, PC (18:0/18:0), LysoPC (18:0/0:0), and PC (18:2/18:2).
  • The combination of these metabolites demonstrated significant diagnostic and predictive capabilities for IS.
  • Changes in glycerophospholipid metabolism were linked to early IS risk.

Conclusions:

  • The identified metabolites show potential as novel diagnostic biomarkers for IS.
  • Combining these biomarkers with AI may enhance early warning systems for atherosclerosis-induced IS.
  • Findings provide new perspectives on IS pathogenesis.
Abstract

Keywords:
UPLC-Q-TOF/MSatherosclerosis Indexbiomarkerischemic strokemetabolomicsserum

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