The Effect of PCSK9 Inhibition on the Stabilization of Atherosclerotic Plaque Determined by Biochemical and Diagnostic Imaging Methods.
Marcin BasiakMarcin HachułaMichal KosowskiGrzegorz MachnikMateusz MaliglowkaMaria Dziubinska-BasiakRobert KrysiakBogusław OkopieńPublished in: Molecules (Basel, Switzerland) (2023)
Atherosclerosis is a multifactorial, progressive, chronic inflammatory disease. Ultrasound and magnetic resonance imaging are the most accurate predictors of atherosclerotic plaque instability (MRI). Cytokines such as osteopontin, osteoprotegerin, and metalloproteinase 9 could be used as the most recent markers to identify and track the efficacy of anti-atherosclerotic therapy. Patients with USG and MRI-verified unstable atherosclerotic plaque were included in the study. Biomarker concentrations were measured and compared before and after PCSK9 inhibitor therapy. Additionally, concentrations prior to treatment were correlated with MRI images of the carotid artery. After treatment with alirocumab, the concentrations of MMP-9 ( p < 0.01) and OPN, OPG ( p < 0.05) decreased significantly. Furthermore, the results of OPN, OPG, and MMP 9 varied significantly depending on the type of atherosclerotic plaque in the MRI assay. In stable atherosclerotic plaques, the concentrations of OPN and OPG were greater ( p < 0.01), whereas the concentration of MMP9 correlated with the instability of the plaque ( p < 0.05). We demonstrated, probably for the first time, that alirocumab therapy significantly decreased the serum concentration of atherosclerotic plaque markers. In addition, we demonstrated the relationship between the type of atherosclerotic plaque as determined by carotid MRI and the concentration of these markers.
Keyphrases
- magnetic resonance imaging
- contrast enhanced
- coronary artery disease
- diffusion weighted imaging
- computed tomography
- high resolution
- cardiovascular disease
- magnetic resonance
- oxidative stress
- deep learning
- high throughput
- immune response
- type diabetes
- low density lipoprotein
- bone marrow
- photodynamic therapy
- inflammatory response
- cell therapy
- single cell
- convolutional neural network
- drug induced