Quantitative proteomic landscape of unstable atherosclerosis identifies molecular signatures and therapeutic targets for plaque stabilization.
Yung Chih ChenMeaghan SmithYa-Lan YingManousos MakridakisJonathan NoonanPeter KanellakisAlin RaiAgus SalimAndrew MurphyAlex BobikAntonia VlahouDavid W GreeningKarlheinz PeterPublished in: Communications biology (2023)
Atherosclerotic plaque rupture leading to myocardial infarction is a major global health burden. Applying the tandem stenosis (TS) mouse model, which distinctively exhibits the characteristics of human plaque instability/rupture, we use quantitative proteomics to understand and directly compare unstable and stable atherosclerosis. Our data highlight the disparate natures and define unique protein signatures of unstable and stable atherosclerosis. Key proteins and pathway networks are identified such as the innate immune system, and neutrophil degranulation. The latter includes calprotectin S100A8/A9, which we validate in mouse and human unstable plaques, and we demonstrate the plaque-stabilizing effects of its inhibition. Overall, we provide critical insights into the unique proteomic landscape of unstable atherosclerosis (as distinct from stable atherosclerosis and vascular tissue). We further establish the TS model as a reliable preclinical tool for the discovery and testing of plaque-stabilizing drugs. Finally, we provide a knowledge resource defining unstable atherosclerosis that will facilitate the identification and validation of long-sought-after therapeutic targets and drugs for plaque stabilization.
Keyphrases
- coronary artery disease
- cardiovascular disease
- global health
- endothelial cells
- mouse model
- genome wide
- immune response
- heart failure
- healthcare
- public health
- induced pluripotent stem cells
- small molecule
- gene expression
- mass spectrometry
- high throughput
- type diabetes
- big data
- dna methylation
- single cell
- machine learning
- risk factors
- electronic health record
- pluripotent stem cells
- artificial intelligence
- mesenchymal stem cells
- label free
- bone marrow
- data analysis
- single molecule
- clinical evaluation