Impact of adventitial neovascularisation on atherosclerotic plaque composition and vascular remodelling in a porcine model of coronary atherosclerosis

2010 ◽  
Vol 5 (8) ◽  
pp. 981-988 ◽  
Author(s):  
Carlos Alviar ◽  
Armando Tellez ◽  
David Wallace-Bradley ◽  
Gabriel Lopez-Berestein ◽  
Angela Sanguino ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yeonyee E. Yoon ◽  
Lohendran Baskaran ◽  
Benjamin C. Lee ◽  
Mohit Kumar Pandey ◽  
Benjamin Goebel ◽  
...  

AbstractPatient-specific phenotyping of coronary atherosclerosis would facilitate personalized risk assessment and preventive treatment. We explored whether unsupervised cluster analysis can categorize patients with coronary atherosclerosis according to their plaque composition, and determined how these differing plaque composition profiles impact plaque progression. Patients with coronary atherosclerotic plaque (n = 947; median age, 62 years; 59% male) were enrolled from a prospective multi-national registry of consecutive patients who underwent serial coronary computed tomography angiography (median inter-scan duration, 3.3 years). K-means clustering applied to the percent volume of each plaque component and identified 4 clusters of patients with distinct plaque composition. Cluster 1 (n = 52), which comprised mainly fibro-fatty plaque with a significant necrotic core (median, 55.7% and 16.0% of the total plaque volume, respectively), showed the least total plaque volume (PV) progression (+ 23.3 mm3), with necrotic core and fibro-fatty PV regression (− 5.7 mm3 and − 5.6 mm3, respectively). Cluster 2 (n = 219), which contained largely fibro-fatty (39.2%) and fibrous plaque (46.8%), showed fibro-fatty PV regression (− 2.4 mm3). Cluster 3 (n = 376), which comprised mostly fibrous (62.7%) and calcified plaque (23.6%), showed increasingly prominent calcified PV progression (+ 21.4 mm3). Cluster 4 (n = 300), which comprised mostly calcified plaque (58.7%), demonstrated the greatest total PV increase (+ 50.7mm3), predominantly increasing in calcified PV (+ 35.9 mm3). Multivariable analysis showed higher risk for plaque progression in Clusters 3 and 4, and higher risk for adverse cardiac events in Clusters 2, 3, and 4 compared to that in Cluster 1. Unsupervised clustering algorithms may uniquely characterize patient phenotypes with varied atherosclerotic plaque profiles, yielding distinct patterns of progressive disease and outcome.


2018 ◽  
Vol 5 (3) ◽  
pp. 171447 ◽  
Author(s):  
R. Xing ◽  
A. M. Moerman ◽  
Y. Ridwan ◽  
M. J. Daemen ◽  
A. F. W. van der Steen ◽  
...  

Wall shear stress (WSS) is involved in atherosclerotic plaque initiation, yet its role in plaque progression remains unclear. We aimed to study (i) the temporal and spatial changes in WSS over a growing plaque and (ii) the correlation between WSS and plaque composition, using animal-specific data in an atherosclerotic mouse model. Tapered casts were placed around the right common carotid arteries (RCCA) of ApoE −/− mice. At 5, 7 and 9 weeks after cast placement, RCCA geometry was reconstructed using contrast-enhanced micro-CT. Lumen narrowing was observed in all mice, indicating the progression of a lumen intruding plaque. Next, we determined the flow rate in the RCCA of each mouse using Doppler Ultrasound and computed WSS at all time points. Over time, as the plaque developed and further intruded into the lumen, absolute WSS significantly decreased. Finally at week 9, plaque composition was histologically characterized. The proximal part of the plaque was small and eccentric, exposed to relatively lower WSS. Close to the cast a larger and concentric plaque was present, exposed to relatively higher WSS. Lower WSS was significantly correlated to the accumulation of macrophages in the eccentric plaque. When pooling data of all animals, correlation between WSS and plaque composition was weak and no longer statistically significant. In conclusion, our data showed that in our mouse model absolute WSS strikingly decreased during disease progression, which was significantly correlated to plaque area and macrophage content. Besides, our study demonstrates the necessity to analyse individual animals and plaques when studying correlations between WSS and plaque composition.


2021 ◽  
Author(s):  
Alexander R. van Rosendael ◽  
Inge J. van den Hoogen ◽  
Umberto Gianni ◽  
Xiaoyue Ma ◽  
Sara W. Tantawy ◽  
...  

2010 ◽  
Vol 20 (8) ◽  
pp. 1841-1850 ◽  
Author(s):  
Grigorios Korosoglou ◽  
Dirk Mueller ◽  
Stephanie Lehrke ◽  
Henning Steen ◽  
Waldemar Hosch ◽  
...  

2020 ◽  
Vol 13 (4) ◽  
pp. 1055-1068 ◽  
Author(s):  
Marwa Daghem ◽  
Rong Bing ◽  
Zahi A. Fayad ◽  
Marc R. Dweck

2012 ◽  
Vol 5 (3) ◽  
pp. S62-S72 ◽  
Author(s):  
Alexandra J. Lansky ◽  
Vivian G. Ng ◽  
Akiko Maehara ◽  
Giora Weisz ◽  
Amir Lerman ◽  
...  

1997 ◽  
Vol 17 (12) ◽  
pp. 3626-3632 ◽  
Author(s):  
Luis C. L. Correia ◽  
Ergin Atalar ◽  
Mark D. Kelemen ◽  
Ogan Ocali ◽  
Grover M. Hutchins ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document