| Literature DB >> 32089075 |
Alexander P Kossar1, Wanda Anselmo2, Juan B Grau3, Yichuan Liu4, Aeron Small2, Samuel L Carter1, Lisa Salvador5, Lei Zhao5, Mary Ellen Cvijic5, Zhuyin Li5, Melissa Yarde5, Nancy Rioux6, Daniel J Rader2, Robert J Levy4, Giovanni Ferrari1,2.
Abstract
Aortic valve sclerosis is a highly prevalent, poorly characterized asymptomatic manifestation of calcific aortic valve disease and may represent a therapeutic target for disease mitigation. Human aortic valve cusps and blood were obtained from 333 patients undergoing cardiac surgery (n = 236 for severe aortic stenosis, n = 35 for asymptomatic aortic valve sclerosis, n = 62 for no valvular disease), and a multiplex assay was used to evaluate protein expression across the spectrum of calcific aortic valve disease. A subset of six valvular tissue samples (n = 3 for asymptomatic aortic valve sclerosis, n = 3 for severe aortic stenosis) was used to create RNA sequencing profiles, which were subsequently organized into clinically relevant gene modules. RNA sequencing identified 182 protein-encoding, differentially expressed genes in aortic valve sclerosis vs. aortic stenosis; 85% and 89% of expressed genes overlapped in aortic stenosis and aortic valve sclerosis, respectively, which decreased to 55% and 84% when we targeted highly expressed genes. Bioinformatic analyses identified six differentially expressed genes encoding key extracellular matrix regulators: TBHS2, SPARC, COL1A2, COL1A1, SPP1, and CTGF. Differential expression of key circulating biomarkers of extracellular matrix reorganization was observed in control vs. aortic valve sclerosis (osteopontin), control vs. aortic stenosis (osteoprotegerin), and aortic valve sclerosis vs. aortic stenosis groups (MMP-2), which corresponded to valvular mRNA expression. We demonstrate distinct mRNA and protein expression underlying aortic valve sclerosis and aortic stenosis. We anticipate that extracellular matrix regulators can serve as circulating biomarkers of early calcific aortic valve disease and as novel targets for early disease mitigation, pending prospective clinical investigations.Entities:
Keywords: aortic stenosis; aortic valve sclerosis; calcific aortic valve disease; genomics; proteomics
Mesh:
Substances:
Year: 2020 PMID: 32089075 PMCID: PMC7191425 DOI: 10.1152/physiolgenomics.00104.2019
Source DB: PubMed Journal: Physiol Genomics ISSN: 1094-8341 Impact factor: 3.107