A multivariate analysis identifies genetic loci associated with atherosclerotic plaque composition and cardiovascular disease trajectory

2021 ◽  
Vol 331 ◽  
pp. e5-e6
Author(s):  
K. Cui ◽  
J. Mekke ◽  
S. Haitjema ◽  
G. Pasterkamp ◽  
F.W. Asselbergs ◽  
...  
2021 ◽  
Author(s):  
Drew Thomas ◽  
Darma Marcelin ◽  
Shone Almeida

Lipid management remains the mainstay of cardiovascular disease prevention. Drugs that target cholesterol reduction, such as HMG-CoA reductase inhibitors (statins) and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, have shown significant mortality and morbidity benefit. Predominantly targeting low-density lipoprotein (LDL). These drugs have been indicated to reduce lipid composition and plaque proliferation. Total plaque burden and composition can now be assessed with noninvasive advanced cardiac imaging modalities. This chapter will address the components of atherosclerotic plaque as identified with coronary computed tomography angiography (CCTA) and review in detail the changes in plaque characteristics that may be responsible for reduction in cardiac events. These changes in plaque composition may help guide future management of cardiovascular disease, serving as an imaging biomarker for better risk stratification. Readers will gain a deeper understanding of plaque morphology with direct clinical applicability as well as an understanding of how noninvasive imaging can be utilized to assess plaque composition.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Vanessa Isabell Jurtz ◽  
Grethe Skovbjerg ◽  
Casper Gravesen Salinas ◽  
Urmas Roostalu ◽  
Louise Pedersen ◽  
...  

AbstractComplications of atherosclerosis are the leading cause of morbidity and mortality worldwide. Various genetically modified mouse models are used to investigate disease trajectory with classical histology, currently the preferred methodology to elucidate plaque composition. Here, we show the strength of light-sheet fluorescence microscopy combined with deep learning image analysis for characterising and quantifying plaque burden and composition in whole aorta specimens. 3D imaging is a non-destructive method that requires minimal ex vivo handling and can be up-scaled to large sample sizes. Combined with deep learning, atherosclerotic plaque in mice can be identified without any ex vivo staining due to the autofluorescent nature of the tissue. The aorta and its branches can subsequently be segmented to determine how anatomical position affects plaque composition and progression. Here, we find the highest plaque accumulation in the aortic arch and brachiocephalic artery. Simultaneously, aortas can be stained for markers of interest (for example the pan immune cell marker CD45) and quantified. In ApoE−/− mice we observe that levels of CD45 reach a plateau after which increases in plaque volume no longer correlate to immune cell infiltration. All underlying code is made publicly available to ease adaption of the method.


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 ◽  
...  

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Yuqi Zhao ◽  
Sander M van der Laan ◽  
Hester M den Ruijter ◽  
Saskia Haitjema ◽  
Gerard Pasterkamp ◽  
...  

Introduction: The composition of atherosclerotic plaques differs between individuals and contributes to the incidence of cardiovascular events. A better understanding of the biology underlying variability in plaque composition will provide insights into the progression of cardiovascular diseases. We carried out genome-wide association studies (GWAS) to investigate the genetic underpinnings of the plaque. Methods: We included carotid endarterectomy patients from the Athero-Express Biobank Study (n = 1,439). We quantified the percentage of macrophages and smooth muscle cells, the number of intraplaque vessels, the amount of collagen and calcification, the atheroma size, and the presence of plaque hemorrhage. GWAS was performed for all 9 plaque traits, and combined with summary level from GWAS consortia data on coronary artery disease (CAD), and ischemic stroke. Next, these data were integrated with data from human expression quantitative trait loci analyses, and pathway analyses of the plaque traits. Results: No individual locus reached genome-wide significance, likely due to the moderate sample size involved. However, it is plausible that perturbations of diverse pathways by a large number of genetic loci with small effects together contribute to the regulation of plaque composition. We identified 42-97 pathways significantly associated with each plaque phenotype, with many specific to each trait, supporting the presence of unique genetic components of individual plaque phenotypes. We also detected 39 pathways associated with at least four plaque phenotypes, among which were CAD-associated processes such as “extracellular matrix”, “complement and coagulation cascades” and stroke-associated pathways such as “Toll-like receptor signaling”. Interestingly, we found that smooth muscle cell percentage and atheroma size shared more genetic loci and pathways with intraplaque hemorrhage (such as “Sphingolipid metabolism”); the latter trait is associated with secondary cardiovascular events. Conclusion: There are genetic correlations among plaque phenotypes as well as between plaque phenotypes that provide mechanistic insight into the composition of the plaque and progression to secondary events.


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

2010 ◽  
Vol 118 (11) ◽  
pp. 641-655 ◽  
Author(s):  
Eileen McNeill ◽  
Keith M. Channon ◽  
David R. Greaves

Atherosclerosis is the pathological process that underlies the development of cardiovascular disease, a leading cause of mortality. Atherosclerotic plaque formation is driven by the recruitment of inflammatory monocytes into the artery wall, their differentiation into macrophages and the subsequent transformation of macrophages into cholesterol-laden foam cells. Models of hypercholesterolaemia such as the ApoE (apolipoprotein E)−/− mouse and the application of transgenic technologies have allowed us to undertake a thorough dissection of the cellular and molecular biology of the atherosclerotic disease process. Murine models have emphasized the central role of inflammation in atherogenesis and have been instrumental in the identification of adhesion molecules that support monocyte recruitment, scavenger receptors that facilitate cholesterol uptake by macrophages and other macrophage activation receptors. The study of mice deficient in multiple members of the chemokine family, and their receptors, has shown that chemokines play a critical role in promoting atherosclerotic plaque formation. In the present review, we will discuss novel therapeutic avenues for the treatment of cardiovascular disease that derive directly from our current understanding of atherogenesis gained in experimental animal models.


Sign in / Sign up

Export Citation Format

Share Document