Novel Protein-Based Biomarkers of Out-of-hospital Sudden Cardiac Death After Myocardial Infarction

Maomao Zhang1,2,3, Zhonghua Tong1,2, Naixin Wang1,2,4

  • 1Department of Cardiology, The Second Affiliated Hospital (M.Z., Z.T., N.W., Y.Z., D.W., X.W., P.W., Q.Y., Y.K., M.W., J.C., Z.W., M.C., L.L., Y.L., J.T., B.Y.), Harbin Medical University, China.

Insights

A new 3-protein combination effectively identifies high-risk individuals for sudden cardiac death (SCD) after heart attack, outperforming current methods. This discovery aids in early intervention for better patient outcomes.

Area of Science:

  • Cardiology
  • Proteomics
  • Biomarker Discovery

Background:

  • Early identification of out-of-hospital sudden cardiac death (SCD) risk post-myocardial infarction is critical.
  • Left ventricular ejection fraction has limitations as a sole risk stratification tool.

Purpose of the Study:

  • To identify novel protein biomarkers for improved risk stratification of out-of-hospital SCD.
  • To develop and validate a targeted proteomics-based risk assessment model.

Main Methods:

  • Mass spectrometry was used to analyze peptides and proteins in post-myocardial infarction patients.
  • Targeted proteomics identified an optimal 3-protein combination (coronin-1A, haptoglobin, CFD) for SCD risk assessment.
  • ELISA validated the predictive value of the protein combination against clinical tools and existing models in three cohorts.

Main Results:

  • Mass spectrometry identified 44 differential proteins, highlighting inflammatory response and complement activation in SCD cases.
  • The 3-protein combination significantly outperformed left ventricular ejection fraction alone (C statistic: 0.752 vs. 0.548).
  • The model demonstrated incremental discrimination improvements over existing risk scores and was validated in independent cohorts.

Conclusions:

  • The SCD-warning 3-protein combination offers enhanced early identification of high-risk individuals for timely intervention.
  • These pivotal proteins may advance the understanding of SCD pathophysiology.
Abstract