Related Experiment Video
Updated: Apr 3, 2026

A Semi-Automated and Reproducible Biological-Based Method to Quantify Calcium Deposition In Vitro
Published on: June 2, 2022
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.
Background:
Joint use of multiple molecular layers can be useful to prioritize targets for mechanistic studies. Application of this approach to coronary disease in large populations is an emerging field.
Methods:
We used reported circulating proteomic data (Somascan aptamer-based) from ≈3000 individuals in the CARDIA study (Coronary Artery Risk Development in Young Adults), measuring association with prevalent and 10-year incident coronary artery calcium (CAC) score. We used a multiparametric approach to prioritize circulating protein-CAC associations via genomics of circulating protein levels and coronary artery transcription.
Results:
Proteins linked to prevalent/incident CAC in CARDIA implicated pathogenic mechanisms of vascular disease, including fibrosis and inflammation (GDF-15 [growth/differentiation factor 15], CDCP1 [CUB domain-containing protein 1], GSN [gelsolin], THBS2 [thrombospondin-2], chemokines, RNAS6 [ribonuclease K6]), oxidative lipid metabolism (CILP2; cartilage intermediate layer protein 2), extracellular matrix remodeling and signaling (MMPs [matrix metalloproteinases], TIMP-1 [tissue inhibitor of metalloproteinases 1], integrins), calcification (Notch 1, ARHGAP36 [Rho GTPase-activating protein 36]), and metabolism (GIP [gastric inhibitory polypeptide]), as well as new proteins not previously reported. Using proteome-wide association study genetic approaches, several targets with nominal evidence in CAC proteomics were associated with atherosclerosis or myocardial infarction in over 300K individuals, including PCSK9 (proprotein convertase subtilisin/kexin type 9) and APOC1. Finally, the coronary artery-specific transcriptome-wide association study of CAC yielded genes with previously implicated mechanistic roles in vascular homeostasis, inflammation, and metabolism, as well as genes without previously described function in CAC. Overlap across CAC proteomics and transcriptome-wide association study highlighted genes involved in vascular inflammation (S100A9), cardiac development (HES1 [transcription factor HES-1]), vessel wall structure (SPARCL1 [SPARC-like protein 1]), and vascular dysfunction or plaque (NOTCH3 [neurogenic locus notch homolog protein 3], TNFSF12 [tumor necrosis factor ligand superfamily member 12], S100A12 [protein S100-A12]).
Conclusions:
These results report population-level multiomics in human coronary calcification, presenting a method to identify disease-relevant targets through integration of human genetic approaches with multiomics.
Related Concept Videos
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT
Coronary Artery Disease I: Introduction
Pharmacogenomics: Identification of New Drug Targets
Coronary Artery Disease II: Pathophysiology

