Prediction of worsening heart failure in hypertrophic cardiomyopathy using plasma proteomics

Heidi S Lumish1, Lusha W Liang1, Kohei Hasegawa2

  • 1Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.

PubMed

Insights

A new plasma proteomics model accurately predicts worsening heart failure (HF) in hypertrophic cardiomyopathy (HCM) patients. This study also identified dysregulated Ras-MAPK signaling pathways as potential mechanisms driving HF progression in HCM.

Area of Science:

  • Cardiovascular proteomics
  • Biomarker discovery for heart failure

Background:

  • Heart failure (HF) is a major complication of hypertrophic cardiomyopathy (HCM), significantly impacting patient lifestyle.
  • Current clinical measures have limitations in predicting HF worsening in HCM patients.
  • The underlying mechanisms of HF development in HCM remain unclear.

Purpose of the Study:

  • To develop a plasma proteomics-based model for predicting HF worsening in HCM.
  • To identify specific signaling pathways dysregulated in HCM patients who develop worsening HF.

Main Methods:

  • A multi-center, prospective cohort study involving 389 HCM patients.
  • Plasma proteomics profiling of 4986 proteins at enrollment.
  • Development and external validation of a random forest proteomics model to predict HF worsening.
  • Pathway analysis of dysregulated proteins using a false discovery rate (FDR) threshold of <0.001.

Main Results:

  • An 11-protein model demonstrated high predictive accuracy for HF worsening (AUC 0.87 in the test set).
  • Pathway analysis identified the Ras-MAPK pathway and related pathways as significantly dysregulated in patients who developed worsening HF (FDR < 0.00001).

Conclusions:

  • Plasma proteomics profiling offers a highly accurate method for predicting HF worsening in HCM.
  • The Ras-MAPK signaling pathway is implicated as a potential mechanism in the progression of HF in HCM.
Abstract

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