Lipoprotein(a) in Cardiovascular Diseases and Emerging Therapeutic Strategies

医学 疾病 重症监护医学 临床试验 危险分层 流行病学 生物信息学 风险因素 心血管健康 血管疾病 风险评估 冠状动脉疾病 动脉粥样硬化性心血管疾病 动脉疾病 剩余风险 心力衰竭 心脏病学 梅德林 治疗方法 内科学 评论文章 观察研究 主动脉瓣狭窄
作者
Rami A. Al-Horani,Alexandra C. Selico-Dunn,Emily Lauren Schenk-Smith
出处
期刊:Cardiovascular Drugs and Therapy [Springer Nature]
标识
DOI:10.1007/s10557-025-07810-1
摘要

Abstract Purpose Lipoprotein(a) [Lp(a)] is increasingly recognized as a genetically determined, independent risk factor for atherosclerotic cardiovascular disease (ASCVD). This review examines the structure, pathophysiology, and epidemiology of Lp(a), with a focus on its contribution to ASCVD and related conditions such as aortic valve stenosis and peripheral artery disease. The main research question addresses how Lp(a) influences cardiovascular risk and how emerging therapies may modify this risk. Methods This review synthesizes published evidence describing the biological characteristics of Lp(a), its mechanistic roles in disease, and its epidemiologic associations with cardiovascular outcomes. It also evaluates current and investigational therapeutic approaches by examining clinical trial data for agents targeting Lp(a). Results Lp(a) contributes to residual cardiovascular risk through proatherogenic, proinflammatory, and prothrombotic mechanisms. Current evidence highlights its involvement in ASCVD, aortic valve stenosis, and peripheral artery disease. Clinical studies of antisense oligonucleotides, small interfering RNAs, oral small molecules, and CRISPR-based gene editing, including pelacarsen, olpasiran, zerlasiran, lepodisiran, muvalaplin, and obicetrapib, demonstrate promising efficacy and safety. These agents show potential to significantly reduce Lp(a) levels and influence future cardiovascular prevention strategies. Conclusion As novel therapies advance and clinical guidelines evolve, Lp(a) is emerging as a central determinant in personalized cardiovascular care. The increasing emphasis on Lp(a) testing underscores its importance in risk stratification and future therapeutic decisionmaking.
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