Rapid and Sensitive Differentiating Ischemic and Hemorrhagic Strokes by Dried Blood Spot Based Direct Injection Mass

Zhansheng Hu1, Zhitu Zhu1, Yunfeng Cao1,2,3

  • 1First Affiliated Hospital of Liaoning Medical University, Jinzhou, P.R. China.

Insights

This study used targeted metabolomics on blood spots to differentiate between cerebral infarction (CI) and intracerebral hemorrhage (ICH). Distinct metabolite profiles were identified, enabling rapid and accurate stroke diagnosis.

Area of Science:

  • Biochemistry
  • Neurology
  • Medical Diagnostics

Background:

  • Cerebral infarction (CI) and intracerebral hemorrhage (ICH) are critical cerebrovascular diseases with overlapping symptoms but different treatments.
  • Prompt diagnosis is crucial for effective management and improved patient outcomes in emergency settings.

Purpose of the Study:

  • To investigate the utility of targeted metabolomics for differentiating CI from ICH using dried blood spot samples.
  • To identify specific metabolic biomarkers for distinguishing between CI and ICH.

Main Methods:

  • A targeted metabolomics approach was employed, analyzing 23 amino acids, 26 carnitine/carnitine esters, and 22 calculated ratios in 129 CI patients, 73 ICH patients, and 98 controls.
  • Direct injection mass spectrometry was used for absolute quantitation on dried blood spot samples.

Main Results:

  • Distinctive metabolite alterations were observed between CI and ICH groups compared to controls.
  • Specific metabolites like Tyr, Cit, Asn, Pro, Val, Arg/Orn, Leu, and Val/Phe were elevated in the CI group, while C5:1, Phe/Tyr, (C0 + C2 + C3 + C16 + C18:1)/Cit, and Met/Leu were decreased.
  • A regression model utilizing these biomarkers achieved 79.07% accuracy in confirming stroke patients in a validation set.

Conclusions:

  • Targeted metabolomics analysis of dried blood spots provides a promising method for rapid and timely differentiation of stroke types.
  • Metabolite profiling can serve as a valuable tool for distinguishing cerebral infarction from intracerebral hemorrhage, aiding clinical decision-making.

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