Lipoprotein Proteomics and Aortic Valve Transcriptomics Identify Biological Pathways Linking Lipoprotein(a) Levels to Aortic Stenosis.
Raphaëlle BourgeoisJérôme BourgaultAudrey-Anne DespresNicolas PerrotJakie GuertinArnaud GirardPatricia L MitchellClarisse GottiSylvie BourassaCorey A ScipioneNathalie GaudreaultMichael B BoffaMarlys L KoschinskyPhilippe PibarotArnaud DroitSébastien ThériaultPatrick MathieuYohan BosséBenoit J ArsenaultPublished in: Metabolites (2021)
Lipoprotein(a) (Lp(a)) is one of the most important risk factors for the development of calcific aortic valve stenosis (CAVS). However, the mechanisms through which Lp(a) causes CAVS are currently unknown. Our objectives were to characterize the Lp(a) proteome and to identify proteins that may be differentially associated with Lp(a) in patients with versus without CAVS. Our second objective was to identify genes that may be differentially regulated by exposure to high versus low Lp(a) levels in explanted aortic valves from patients with CAVS. We isolated Lp(a) from the blood of 21 patients with CAVS and 22 volunteers and performed untargeted label-free analysis of the Lp(a) proteome. We also investigated the transcriptomic signature of calcified aortic valves from patients who underwent aortic valve replacement with high versus low Lp(a) levels (n = 118). Proteins involved in the protein activation cascade, platelet degranulation, leukocyte migration, and response to wounding may be associated with Lp(a) depending on CAVS status. The transcriptomic analysis identified genes involved in cardiac aging, chondrocyte development, and inflammation as potentially influenced by Lp(a). Our multi-omic analyses identified biological pathways through which Lp(a) may cause CAVS, as well as key molecular events that could be triggered by Lp(a) in CAVS development.
Keyphrases
- aortic valve
- aortic valve replacement
- aortic stenosis
- transcatheter aortic valve replacement
- transcatheter aortic valve implantation
- ejection fraction
- left ventricular
- label free
- mass spectrometry
- gene expression
- small molecule
- oxidative stress
- chronic kidney disease
- newly diagnosed
- prognostic factors
- rna seq
- coronary artery disease
- high resolution
- atrial fibrillation