Irradiation induces different inflammatory and thrombotic responses in carotid arteries of wildtype C57BL/6J and atherosclerosis-prone ApoE−/− mice

Hoving, Saske; Heeneman, Sylvia; Gijbels, Marion J.J.; Poele, Johannes A. M. te; Visser, Nils L.; Cleutjens, Jack P.M.; Russell, Nicola S.; Daemen, Mat J.A.P.; Stewart, Fiona

doi:10.1016/j.radonc.2012.11.001

Cited by 45 publications

(31 citation statements)

References 38 publications

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“…Localized irradiation of the neck (single dose of 8 or 14 Gy, or 20 fractions of 2 Gy) in apolipoprotein E (ApoE) knockout (KO) mice caused increased macrophage-rich atherosclerotic plaques in the carotid artery [73–75]. In addition, upon local heart irradiation these mice showed increased microvascular damage and atherosclerotic lesions in the coronary arteries [76].…”

Section: Cardiac Injury Of High-dose Radiationmentioning

confidence: 99%

Effects of ionizing radiation on the heart

Boerma

Sridharan

Mao

et al. 2016

Mutation Research/Reviews in Mutation Research

113

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This article provides an overview of studies addressing effects of ionizing radiation on the heart. Clinical studies have identified early and late manifestations of radiation-induced heart disease, a side effect of radiation therapy to tumors in the chest when all or part of the heart is situated in the radiation field. Studies in preclinical animal models have contributed to our understanding of the mechanisms by which radiation may injure the heart. More recent observations in human subjects suggest that ionizing radiation may have cardiovascular effects at lower doses than was previously thought. This has led to examinations of low-dose photons and low-dose charged particle irradiation in animal models. Lastly, studies have started to identify noninvasive methods for detection of cardiac radiation injury and interventions that may prevent or mitigate these adverse effects. Altogether, this ongoing research should increase our knowledge of biological mechanisms of cardiovascular radiation injury, identify non-invasive biomarkers for early detection, and potential interventions that may prevent or mitigate these adverse effects.

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Section: Cardiac Injury Of High-dose Radiationmentioning

confidence: 99%

Effects of ionizing radiation on the heart

Boerma

Sridharan

Mao

et al. 2016

Mutation Research/Reviews in Mutation Research

113

View full text Add to dashboard Cite

show abstract

“…It was shown by immunohistochemistry that intercellular adhesion molecule-1 (ICAM-1) in the endothelium of carotid arteries was decreased 1 and 4 weeks after local irradiation of mice with 14 Gy [12]. Immunofluorescence staining of the Arteria saphena tissue sections resulted in an increased expression of platelet endothelial adhesion molecule-1 (PECAM-1), ICAM-1 and vascular cell adhesion molecule-1 (VCAM-1) 3-6 months after local irradiation with 2-10 Gy [13].…”

Section: Introductionmentioning

confidence: 99%

Late proliferating and inflammatory effects on murine microvascular heart and lung endothelial cells after irradiation

Sievert

Trott

Azimzadeh

et al. 2015

Radiotherapy and Oncology

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“…In addition, histology results confirmed the different plaque composition between two strains. Hoving et al [34] showed carotid arteries of atherosclerosis-prone apoE −/− mice and C57BL/6J mice respond very differently to irradiation. This might be partly explained by higher base-line expressions of inflammatory VCAM-1 and thrombotic mediator thrombomodulin.…”

Section: Discussionmentioning

confidence: 99%

Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE−/− mice

Yun

et al. 2016

BioMed Eng OnLine

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BackgroundThis study specifically focused on anatomical MRI characterization of the low shear stress-induced atherosclerotic plaque in mice. We used machine learning algorithms to analyze multiple correlation factors of plaque to generate predictive models and to find the predictive factor for vulnerable plaque.MethodsBranches of the left carotid artery in apoE−/− and C57BL/6J mice were ligated to produce the partial left carotid artery model. Before surgery, and 7, 14, and 28 days after surgery, in vivo serial MRI measurements of carotid artery diameter were obtained. Meanwhile, proximal blood flow was evaluated. After image acquisition and animal sacrifice, carotid arteries were harvested for histological analysis. Support vector machine (SVM) and decision tree (DT) were used to select features and generate predictive models of vulnerable plaque progression.ResultSeven days after surgery, neointima formation was visualized on micro-MRI in both apoE−/− and C57BL/6J mice. Ultrasonography showed that blood flow had significantly decreased compared to that in the contralateral artery. Partial ligation of the carotid artery for 4 weeks in apoE−/− mice induced vulnerable plaque; however, in C57BL/6J mice this same technique performed for 4 weeks induced arterial stenosis. Contralateral carotid artery diameter at 7 days after surgery was the most reliable predictive factor in plaque progression. We achieved over 87.5% accuracy, 80% sensitivity, and 95% specificity with SVM. The accuracy, sensitivity, and specificity for the DT classifier were 90, 90, and 90%, respectively.ConclusionsThis study is the first to demonstrate that SVM and DT methods could be suitable models for identifying vulnerable plaque progression in mice. And contralateral artery enlargement can predict the vulnerable plaque in carotid artery at the very early stage. It may be a valuable tool which helps to optimize the clinical work flow process by providing more decision in selecting patients for treatment.

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Irradiation induces different inflammatory and thrombotic responses in carotid arteries of wildtype C57BL/6J and atherosclerosis-prone ApoE−/− mice

Cited by 45 publications

References 38 publications

Effects of ionizing radiation on the heart

Effects of ionizing radiation on the heart

Late proliferating and inflammatory effects on murine microvascular heart and lung endothelial cells after irradiation

Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE−/− mice

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