Plasma proteomic analysis of association between atrial fibrillation, coronary microvascular disease and heart

Gunjan Dixit1, John Blair1, Cevher Ozcan1

  • 1Department of Medicine, Section of Cardiology, Heart and Vascular Center, University of Chicago 5841 S. Maryland Avenue, MC 6080, Chicago 60637, IL, USA.

Insights

Plasma proteomic analysis identified novel biomarkers linking atrial fibrillation (AF), coronary microvascular disease (CMD), and heart failure with preserved ejection fraction (HFpEF). These findings offer mechanistic insights into this prevalent clinical association.

Area of Science:

  • Cardiovascular Medicine
  • Proteomics
  • Biomarker Discovery

Background:

  • The association between atrial fibrillation (AF), coronary microvascular disease (CMD), and heart failure with preserved ejection fraction (HFpEF) is common but mechanistically unclear.
  • Understanding the underlying pathways is crucial for effective clinical management.

Purpose of the Study:

  • To identify novel plasma biomarkers and elucidate mechanistic pathways underlying the concomitant occurrence of AF, CMD, and HFpEF.
  • To explore the proteomic profile associated with this specific triad of cardiovascular conditions.

Main Methods:

  • Employed an unbiased, label-free quantitative proteomics approach using liquid chromatography-mass spectrometry on plasma samples from 18 patients.
  • Analyzed circulating proteins to identify candidate biomarkers for the combined presence of AF, CMD, and HFpEF.

Main Results:

  • Identified 130 dysregulated proteins, with 35 serving as candidate biomarkers for the AF-CMD-HFpEF association.
  • Elevated SAA1, LRG1, and APOC3, and downregulated LCP1, PON1, and C1S were observed. Specific proteins correlated with individual conditions (e.g., PON1 with HFpEF, C1S with CMD).
  • Associated proteins relate to inflammation, extracellular remodeling, oxidative stress, and coagulation.

Conclusions:

  • Plasma proteomic profiling offers valuable biomarkers and mechanistic insights into the complex association between AF, CMD, and HFpEF.
  • SAA1, LRG1, APOC3, LCP1, PON1, and C1S are potential candidate markers for risk stratification and understanding underlying mechanisms.