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Histological Quantification of Chronic Myocardial Infarct in Rats
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Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification.

Lili Zou1, Xubo Wang2, Zhengguang Guo1

  • 1Core Instrument Facility, Institute of Basic Medical Sciences, Chinese Academy of Medical Science and School of Basic Medicine, Peking Union Medical College, Beijing 100005, P.R. China.

Molecular Medicine Reports
|April 4, 2019
PubMed
Summary

Researchers identified novel urinary protein biomarkers for diagnosing myocardial infarction (MI). A combination of five proteins showed high accuracy in detecting MI, offering a noninvasive diagnostic tool.

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Area of Science:

  • Biochemistry
  • Proteomics
  • Clinical Diagnostics

Background:

  • Myocardial infarction (MI) presents significant morbidity and mortality.
  • Current MI biomarkers lack optimal specificity and sensitivity.
  • Urinary proteome offers a noninvasive source for disease biomarker discovery.

Purpose of the Study:

  • To identify novel urinary protein biomarkers for early-onset myocardial infarction (MI) diagnosis.
  • To evaluate the diagnostic potential of urinary proteome using isobaric tags for relative and absolute quantitation (iTRAQ) technology.
  • To validate candidate biomarkers for MI diagnosis and monitoring treatment effects.

Main Methods:

  • Urinary proteome analysis using iTRAQ labeling and 2D LC-MS/MS within 12 hours of MI symptoms and 7 days post-intervention.
  • Validation of candidate biomarkers via multiple reaction monitoring (MRM) analysis.
  • Statistical analysis including binary logistic regression for diagnostic panel assessment.

Main Results:

  • 233 differentially expressed urinary proteins identified; 12 validated by MRM.
  • Five novel urinary proteins (antithrombin-III, complement C3, α-1-acid glycoprotein 1, serotransferrin, cathepsin Z) identified as potential MI biomarkers.
  • A combination of five proteins demonstrated 94% sensitivity and 93% specificity for MI diagnosis.

Conclusions:

  • Urinary proteome analysis using iTRAQ is a viable method for MI biomarker discovery.
  • A panel of five urinary proteins shows high diagnostic accuracy for MI.
  • These biomarkers may aid in MI diagnosis, disease monitoring, and assessment of treatment efficacy.