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 Science+Business Media]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
takii完成签到,获得积分10
刚刚
1秒前
3秒前
FashionBoy的应助被用户云清采纳,获得10
3秒前
Nole的应助被土木仁采纳,获得30
3秒前
3秒前
4秒前
4秒前
默默zzz完成签到 ,获得积分10
4秒前
CipherSage的应助被稳重的短靴采纳,获得10
5秒前
三火发布了新的文献求助10
6秒前
一大群发布了新的文献求助10
7秒前
迪兒发布了新的文献求助10
8秒前
ghjk发布了新的文献求助10
8秒前
9秒前
FashionBoy的应助被Pen6ce采纳,获得10
10秒前
正函数发布了新的文献求助10
10秒前
10秒前
11秒前
DW的应助被杜洋采纳,获得10
11秒前
11秒前
完美世界的应助被CLW采纳,获得10
15秒前
MichaelLi发布了新的文献求助10
16秒前
潇洒渊思发布了新的文献求助10
16秒前
herococa的应助被军工三院采纳,获得20
18秒前
lhz发布了新的文献求助10
21秒前
21秒前
天天快乐的应助被一大群采纳,获得10
21秒前
李健的应助被优美的SCI采纳,获得10
22秒前
害怕的胡萝卜完成签到 ,获得积分10
22秒前
MichaelLi完成签到,获得积分10
22秒前
22秒前
咿呀完成签到,获得积分20
24秒前
24秒前
意林发布了新的文献求助10
25秒前
Pen6ce发布了新的文献求助10
25秒前
26秒前
reece完成签到 ,获得积分10
28秒前
111发布了新的文献求助10
29秒前
施天天发布了新的文献求助10
29秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
The Student's Guide to Social Neuroscience 800
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Photoredox-Catalyzed Alkoxy-fluorosulfonylmethyl Difunctionalization of Alkenes 550
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7812265
求助须知:如何正确求助?哪些是违规求助? 9343395
关于积分的说明 20517765
捐赠科研通 7405049
什么是DOI,文献DOI怎么找? 3330063
关于科研通互助平台的介绍 2476670
邀请新用户注册赠送积分活动 2349627