Background: Proteomics of atypical phenotypes may help unravel cardiovascular disease mechanisms.

Aim: We aimed to prospectively screen the proteome of four types of individuals: with or without coronary artery disease (CAD), each with or without multiple risk factors. Associations with individual risk factors and circulating biomarkers were also tested to provide a functional context to the protein hits.

Materials And Methods: The CAPIRE study (ClinicalTrials.gov Identifier: NCT02157662) is a cross-sectional study aimed at identifying possible new mechanisms promoting or protecting against atherothrombosis. Quantification (by aptamer technology), ranking (using partial least squares), and correlations (by multivariate regression) of ~5000 plasma proteins were performed in consecutive individuals aged 45-75 years, without previous cardiovascular disease, undergoing computed tomography angiography for suspected CAD, showing either >5/16 atherosclerotic segments (CAD) or completely clean arteries (CAD) and either ≤ 1 risk factor (RF) or ≥3 risk factors (RF) (based on history, blood pressure, glycemia, lipids, and smoking).

Results: Of 544 individuals, 39% were atypical (93 CAD/RF; 120 CAD/RF) and 61% typical (102 CAD/RF; 229 CAD/RF). In the comparison with CAD/RF adjusted for sex and age, CAD/RF was associated with increased atrial myosin regulatory light chain 2 (MYO) and C-C motif chemokine-22 (C-C-22), and reduced protein shisa-3 homolog (PS-3) and platelet-activating factor acetylhydrolase (PAF-AH). Extending the analysis to the entire cohort, an additional 8 proteins were independently associated with CAD or RF; by logistic regression, the 12-protein panel alone discriminated the four groups with AUC's of 0.72-0.81 (overall = 1.0e). Among them, insulin-like growth factor binding protein-3 is positively associated with RF, lower BMI, and HDL-cholesterol, renin with CAD higher glycated hemoglobin HbA, and smoking.

Conclusions: In a CCTA-based cohort, four proteins, involved in opposing vascular processes (healing vs. adverse remodeling), are specifically associated with low CAD burden in high CV-risk individuals (high MYO and C-C-22) and high CAD burden in low-risk subjects (high PS-3 and PAF-AH), in interaction with BMI, smoking, diabetes, HDL-cholesterol, and HbA. These findings could contribute to a deeper understanding of the atherosclerotic process beyond traditional risk profile assessment and potentially constitute new treatment targets.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855064PMC
http://dx.doi.org/10.3389/fcvm.2021.790289DOI Listing

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