Mouse models for abdominal aortic aneurysm

Golledge, Jonathan, Krishna, Smriti Murali, and Wang, Yutang (2022) Mouse models for abdominal aortic aneurysm. British Journal of Pharmacology, 179 (5). pp. 792-810.

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Abdominal aortic aneurysm (AAA) rupture is estimated to cause 200,000 deaths each year. Currently, the only treatment for AAA is surgical repair; however, this is only indicated for large asymptomatic, symptomatic or ruptured aneurysms, is not always durable, and is associated with a risk of serious perioperative complications. As a result, patients with small asymptomatic aneurysms or who are otherwise unfit for surgery are treated conservatively, but up to 70% of small aneurysms continue to grow, increasing the risk of rupture. There is thus an urgent need to develop drug therapies effective at slowing AAA growth. This review describes the commonly used mouse models for AAA. Recent research in these models highlights key roles for pathways involved in inflammation and cell turnover in AAA pathogenesis. There is also evidence for long non-coding RNAs and thrombosis in aneurysm pathology. Further well-designed research in clinically relevant models is expected to be translated into effective AAA drugs.

Item ID: 66817
Item Type: Article (Research - C1)
ISSN: 1476-5381
Keywords: abdominal aortic aneurysm; mouse models; pathology
Copyright Information: British Journal of Pharmacology
Funders: Queensland Government (QG), Townsville Hospital and Health Service (THHS), National Health and Medical Research Council (NHMRC)
Projects and Grants: NHMRC Grant Number: 1117601, NHMRC Grant Number: 1062671, NHMRC Grant Number: 1079369, NHMRC Grant Number: 1098717, QG Senior Clinical Research Fellowship, THHS Study, Education and Research Trust Fund
Date Deposited: 02 Mar 2021 02:11
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3201 Cardiovascular medicine and haematology > 320199 Cardiovascular medicine and haematology not elsewhere classified @ 100%
SEO Codes: 20 HEALTH > 2001 Clinical health > 200105 Treatment of human diseases and conditions @ 100%
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