ATP-sensitive K+ channel knockout induces cardiac proteome remodeling predictive of heart disease susceptibility

D Kent Arrell1, Jelena Zlatkovic, Garvan C Kane

  • 1Marriott Heart Disease Research Program, Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905, USA.

Insights

Forecasting cardiac disease requires identifying early molecular changes. Proteomic analysis of Kir6.2 knockout hearts revealed significant metabolic remodeling, predicting future cardiovascular disease and poor outcomes.

Area of Science:

  • Cardiovascular Proteomics
  • Systems Biology
  • Channelopathies

Background:

  • Predicting disease susceptibility necessitates identifying preclinical molecular indicators.
  • Cardiac ATP-sensitive K+ (K(ATP)) channelopathies, specifically those involving Kir6.2, lack identified substrates for disease vulnerability.
  • Understanding molecular pathobiology of genetic defects requires robust systems platforms for diagnosing predisposition.

Purpose of the Study:

  • To decode the molecular consequences of Kir6.2 K(ATP) channel pore deletion using integrated proteomic and network biology approaches.
  • To identify presymptomatic molecular signatures of disease susceptibility in cardiac channelopathies.
  • To establish a systems approach for predicting disease outcome at a presymptomatic stage.

Main Methods:

  • High-throughput proteomic analysis using differential two-dimensional gel electrophoresis and hybrid linear ion trap quadrupole-Orbitrap tandem mass spectrometry.
  • Network biology and protein interaction mapping to analyze the cardiac proteome in wild-type and Kir6.2-knockout mice.
  • Ontological annotation to stratify protein cohorts and assess pathway enrichment.

Main Results:

  • K(ATP) channel ablation significantly remodeled the cardiac proteome, altering 71 protein spots (102 unique identities).
  • The K(ATP) channel-dependent proteome was predominantly enriched in bioenergetic pathways, with additional alterations in signaling, oxidoreductases, chaperones, catabolism, cytostructure, and transcription/translation.
  • Network analysis localized a K(ATP) channel-associated subproteome within a scale-free network, confirming a primary impact on metabolic pathways and revealing cardiovascular disease markers.

Conclusions:

  • Proteomic cartography provides an integral view of cardiac molecular remodeling induced by K(ATP) channel deletion.
  • The study establishes a systems biology approach to predict disease susceptibility and outcome at a presymptomatic stage.
  • Kir6.2 knockout hearts exhibit exaggerated defects under stress, validating the predictive power of proteomic profiling for disease forecasting.