Utilising novel clinically relevant mouse models to test new therapeutic interventions for peripheral artery diseases

Phie, James Andrew (2020) Utilising novel clinically relevant mouse models to test new therapeutic interventions for peripheral artery diseases. PhD thesis, James Cook University.

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View at Publisher Website: https://doi.org/10.25903/3s9c-3054
 
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Abstract

James Phie researched and developed new patient relevant laboratory models and tested interventions for diseases in the blood vessels. These findings pave the way for the development of new drug therapies that may help to improve quality of life and reduce mortality in patients suffering from blood vessel diseases.

Item ID: 65318
Item Type: Thesis (PhD)
Keywords: animal studies, vascular animal models, mouse models, laboratory models, therapeutic interventions, vascular disease, peripheral artery diseases, blood vessels
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Copyright Information: © 2020 James Andrew Phie.
Additional Information:

Two publications arising from this thesis are stored in ResearchOnline@JCU, at the time of processing. Please see the Related URLs. The publications are:

[Chapter 4] Phie, James, Krishna, Smriti M., Moxon, Joseph V., Omer, Safraz M., Kinobe, Robert, and Golledge, Jonathan (2017) Flavonols reduce aortic atherosclerosis lesion area in apolipoprotein E deficient mice: a systematic review and meta-analysis. PLoS ONE, 12 (7). e0181832. pp. 1-13.

[Chapter 6] Phie, James, Moxon, Joseph V., Krishna, Smriti M., Kinobe, Robert, Morton, Susan K., and Golledge, Jonathan (2018) A diet enriched with tree nuts reduces severity of atherosclerosis but not abdominal aneurysm in angiotensin II-infused apolipoprotein E deficient mice. Atherosclerosis, 277. pp. 28-33.

Date Deposited: 15 Dec 2020 03:23
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1102 Cardiovascular Medicine and Haematology > 110201 Cardiology (incl Cardiovascular Diseases) @ 100%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920103 Cardiovascular System and Diseases @ 100%
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