IMR Press / RCM / Volume 23 / Issue 9 / DOI: 10.31083/j.rcm2309307
Open Access Review
Using Molecular Targets to Predict and Treat Aortic Aneurysms
Xiaonan Zhou1,2,†Gang Liu1,2,†Hao Lai1,2Chunsheng Wang1,2,*Jun Li1,2,*Kai Zhu1,2,*
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1 Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, 200032 Shanghai, China
2 Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, 200032 Shanghai, China
*Correspondence: zhu.kai1@zs-hospital.sh.cn (Kai Zhu); li.jun@zs-hospital.sh.cn (Jun Li); wangchunsheng@fudan.edu.cn (Chunsheng Wang)
These authors contributed equally.
Academic Editor: Carmela Rita Balistreri
Rev. Cardiovasc. Med. 2022, 23(9), 307; https://doi.org/10.31083/j.rcm2309307
Submitted: 1 May 2022 | Revised: 13 June 2022 | Accepted: 20 June 2022 | Published: 13 September 2022
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Aortic aneurysms are life-threatening vascular diseases associated with high morbidity, and usually require prophylactic surgical intervention. Current preventative management of aortic aneurysms relies on the diameter and other anatomic parameters of the aorta, but these have been demonstrated to be insufficient predictive factors of disease progression and potential complications. Studies on pathophysiology of aortic aneurysms could fill this need, which already indicated the significance of specific molecules in aortic aneurysms. These molecules provide more accurate prediction, and they also serve as therapeutic targets, some of which are in preclinical stage. In this review, we summarized the inadequacies and achievements of current clinical prediction standards, discussed the molecular targets in prediction and treatment, and especially emphasized the molecules that have shown potentials in early diagnosis, accurate risk assessment and target treatment of aortic aneurysm at early stage.

Keywords
aortic aneurysm
molecular target
vascular imaging
diagnosis
risk stratification
treatment
Funding
20ZR1411700/Science and Technology Commission of Shanghai Municipality
Figures
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