Proteogenomic Analysis of Coronary Artery Calcification in Human Populations

Bassim El-Sabawi1, Xiaoning Huang2, Phillip Lin3

  • 1Vanderbilt Translational and Clinical Cardiovascular Research Center, Cadiovacsular Medicine Division, Vanderbilt University School of Medicine, Nashville, TN (B.E.-S., A.S.P., K.A., E.F.-E., Q.S.W., J.G.T., J.J.C., R.V.S.).

Insights

This study integrates proteomic and genetic data to identify new targets for coronary artery calcification (CAC). Findings reveal key proteins and genes involved in vascular disease mechanisms, aiding future research.

Area of Science:

  • Cardiovascular Disease Research
  • Genomics and Proteomics
  • Population Health Studies

Background:

  • Coronary artery disease (CAD) research benefits from multi-omics approaches to identify study targets.
  • Investigating coronary calcification in large populations is an expanding area of study.

Purpose of the Study:

  • To identify circulating proteins associated with coronary artery calcium (CAC) using proteomic data.
  • To prioritize protein-CAC associations through integrated genomics of protein levels and coronary artery transcription.
  • To discover novel molecular targets for coronary calcification mechanistic studies.

Main Methods:

  • Utilized proteomic data from the Coronary Artery Risk Development in Young Adults (CARDIA) study (n≈3000).
  • Assessed associations between circulating proteins and prevalent/incident CAC.
  • Employed multiparametric prioritization using genomics of protein levels and coronary artery transcription.

Main Results:

  • Identified proteins linked to CAC, implicating mechanisms like fibrosis, inflammation, lipid metabolism, and extracellular matrix remodeling.
  • Protein-wide association studies linked targets like PCSK9 and APO C1 to atherosclerosis in large cohorts.
  • Coronary artery transcriptome-wide association studies revealed genes in vascular homeostasis, inflammation, and metabolism, with novel CAC functions.

Conclusions:

  • This study presents population-level multi-omics data for human coronary calcification.
  • Offers a method for identifying disease-relevant targets by integrating human genetics with multi-omics data.
Abstract

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