腹主动脉瘤:自然史、病理生理学和翻译观点。

IF 1.1 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
Giulio Accarino, Antonio N Giordano, Martina Falcone, Adriana Celano, Maria G Vassallo, Giovanni Fornino, Umberto M Bracale, Carmine Vecchione, Gennaro Galasso
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引用次数: 1

摘要

腹主动脉瘤(AAA)是一种影响主动脉肾下段的退行性病理,导致其进行性扩张并最终破裂。80%的主动脉瘤涉及肾下段,仅占所有动脉瘤的30%。本病的自然病程特点是主动脉直径逐渐增大,破裂风险相应增加,尤其是直径大于5.5 cm的病例。在破裂的情况下,死亡率非常高,与血管内或手术治疗无关。最重要的危险因素是年龄较大、吸烟、高血压、血脂异常和AAA家族史。最常见的形式是“动脉粥样硬化性”,但感染性、胶原蛋白疾病相关、免疫失调相关和创伤后AAA也有报道。尽管提出了多种致病假说,但金属蛋白酶在主动脉壁变性中的作用似乎起着核心作用。早期发现AAA对于在潜在危及生命的并发症发生之前进行识别和治疗至关重要。此外,个体风险分层是临床管理和随访的基础。对AAA病理生理学知识的不断增长有可能导致重大的转化进展。未来几年的挑战是采用生物信息学和遗传模型,也基于人工智能和机器学习方法,开发新的筛查方法,并对高风险或处于AAA早期阶段的个体进行分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Abdominal Aortic Aneurysm: Natural History, Pathophysiology and Translational Perspectives.

Abdominal Aortic Aneurysm: Natural History, Pathophysiology and Translational Perspectives.

An abdominal aortic aneurysm (AAA) is a degenerative pathology that affects the infrarenal segment of the aorta, leading to its progressive dilatation and eventually rupture. The infrarenal segment is involved in 80% of the aortic aneurisms, and represents alone 30% of all aneurysms. The natural history of the disease is characterized by the progressive increase of the aortic diameter associated with proportionally higher risk of rupture, particularly for cases with diameter greater than 5.5 cm. In case of rupture the mortality rate is very high, independently from the endovascular or surgical treatment. The most important risk factors are older age, smoking, hypertension, dyslipidemia, and family history of AAA. The most frequent form is "atherosclerotic", but infectious, collagen disease-related, immune dysregulation-related, and post-traumatic AAA have also been described. Albeit multiple pathogenetic hypotheses have been proposed, the role of metallo-proteinases in the degeneration of the aortic wall seem to play a central role. Early detection of AAA is crucial for the identification and treatment before the onset of potentially life-threatening complications. Moreover, the individual risk stratification is fundamental for the clinical management and follow-up. The growing knowledge about the pathophysiology of AAA has the potential to lead to significant translational advances. The challenge for the next years is to employ bioinformatic and genetic models, also based on artificial intelligence and machine learning approach, to develop novel screening methods and to stratify individuals at higher-risk or in the early stages of AAA.

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Translational Medicine at UniSa
Translational Medicine at UniSa MEDICINE, RESEARCH & EXPERIMENTAL-
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