Back

Phosphotungstic acid (PTA) preferentially binds to collagen-rich regions of porcine carotid arteries and human atherosclerotic plaques using 3D micro-computed tomography (CE-μCT)

Hanly, A.; Johnston, R. D.; Lemass, C.; Jose, A.; Tornifoglio, B.; Lally, C.

2022-07-15 bioengineering
10.1101/2022.07.14.499520 bioRxiv
Show abstract

Background and aimsAtherosclerotic plaque rupture in the carotid artery can cause small emboli to travel to cerebral arteries, causing blockages and preventing blood flow leading to stroke. Contrast enhanced micro computed tomography (CECT) using a novel stain, phosphotungstic acid (PTA) can provide insights into the microstructure of the vessel wall and atherosclerotic plaque, and hence their likelihood to rupture. Furthermore, it has been suggested that collagen content and orientation can be related to mechanical integrity. This study aims to build on existing literature and establish a robust and reproducible staining and imaging technique to non-destructively quantify the collagen content within arteries and plaques as an alternative to routine histology. MethodsPorcine carotid arteries and human atherosclerotic plaques were stained with a concentration of 1% PTA staining solution and imaged using MicroCT to establish the in-situ architecture of the tissue and measure collagen content. A histological assessment of the collagen content was also performed from picrosirius red (PSR) staining. ResultsPTA stained arterial samples highlight the reproducibility of the PTA staining and MicroCT imaging technique used with a quantitative analysis showing a positive correlation between the collagen content measured from CECT and histology. Furthermore, collagen-rich areas can be clearly visualised in both the vessel wall and atherosclerotic plaque. 3D reconstruction was also performed showing that different layers of the vessel wall and various atherosclerotic plaque components can be differentiated using Hounsfield Unit (HU) values. ConclusionsThe work presented here is unique as it offers a quantitative method of segmenting the vessel wall into its individual components and non-destructively quantifying the collagen content withing these tissues, whilst also delivering a visual representation of the fibrous structure using a single contrast agent. Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 9%
18.6%
2
Scientific Reports
3102 papers in training set
Top 5%
10.4%
3
Ultrasound in Medicine & Biology
10 papers in training set
Top 0.1%
10.1%
4
Frontiers in Cardiovascular Medicine
49 papers in training set
Top 1%
3.6%
5
International Journal for Numerical Methods in Biomedical Engineering
12 papers in training set
Top 0.1%
3.6%
6
Journal of Biomechanical Engineering
17 papers in training set
Top 0.1%
3.6%
7
Annals of Biomedical Engineering
34 papers in training set
Top 0.3%
3.6%
50% of probability mass above
8
Photoacoustics
11 papers in training set
Top 0.1%
2.6%
9
BMC Cardiovascular Disorders
14 papers in training set
Top 0.7%
2.4%
10
Computers in Biology and Medicine
120 papers in training set
Top 2%
2.1%
11
Acta Biomaterialia
85 papers in training set
Top 0.4%
1.9%
12
Journal of Biomechanics
57 papers in training set
Top 0.4%
1.9%
13
Journal of Biomedical Optics
25 papers in training set
Top 0.3%
1.8%
14
PLOS Computational Biology
1633 papers in training set
Top 16%
1.7%
15
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 2%
1.5%
16
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 0.5%
1.5%
17
Journal of the Mechanical Behavior of Biomedical Materials
22 papers in training set
Top 0.2%
1.5%
18
PeerJ
261 papers in training set
Top 9%
1.3%
19
Journal of Biophotonics
16 papers in training set
Top 0.4%
1.2%
20
Frontiers in Physiology
93 papers in training set
Top 4%
1.2%
21
Biomedical Optics Express
84 papers in training set
Top 0.8%
1.2%
22
Open Heart
19 papers in training set
Top 0.9%
1.1%
23
Bioengineering
24 papers in training set
Top 0.9%
0.9%
24
Brain and Behavior
37 papers in training set
Top 1%
0.9%
25
F1000Research
79 papers in training set
Top 4%
0.9%
26
Frontiers in Neurology
91 papers in training set
Top 5%
0.7%
27
Magnetic Resonance in Medicine
72 papers in training set
Top 0.5%
0.7%
28
European Radiology
14 papers in training set
Top 0.7%
0.7%
29
Biology Open
130 papers in training set
Top 3%
0.7%
30
Computer Methods and Programs in Biomedicine
27 papers in training set
Top 1%
0.6%