Review Article

Mechanisms, precision therapies, and technological frontiers in coronary atherosclerosis: a comprehensive review

Zi-xuan Qiu1, Ruo-yu Wang1, Yi Zhang1, Han-bing Huang2, Ruo-yu He3, Hao Yan1, Pei-hua Luo1,4, Bo Yang4,5,6, Zhi-fei Xu1, Qiao-jun He1,4,6
1 Center for Drug Safety Evaluation and Research of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
2 Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, VIC, Australia
3 Department of Pharmaceutical Preparation, Hangzhou Xixi Hospital, Hangzhou, Zhejiang, China
4 Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Hangzhou, Zhejiang, China
5 Institute of Pharmacology & Toxicology, Zhejiang Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
6 School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
Correspondence to: Zhi-fei Xu: xzfzjut@zju.edu.cn, Qiao-jun He: qiaojunhe@zju.edu.cn,
DOI: 10.1038/s41401-025-01729-x
Received: 18 August 2025
Accepted: 1 December 2025
Advance online: 27 January 2026

Abstract

Coronary atherosclerosis is a leading cause of morbidity and mortality worldwide and is characterized by complex molecular and cellular mechanisms involving lipid dysregulation, endothelial dysfunction, immune-inflammatory processes, and vascular remodeling. Despite advancements in conventional therapies, including statins and antiplatelet agents, significant residual risk persists, particularly in patients with genetic dyslipidemias, persistent inflammation, or limited access to advanced care. Recent breakthroughs in precision medicine, multiomics technologies, and high-resolution imaging are transforming our approach to cardiovascular risk assessment by enabling refined stratification through single-cell transcriptomics, polygenic risk scoring, and artificial intelligence-powered plaque analysis. This review synthesizes the contemporary understanding of disease mechanisms and emerging therapeutic strategies, highlighting novel interventions targeting PCSK, inflammatory pathways, and vascular regeneration through cell-based therapies. We further explored the transformative potential of CRISPR-Cas9 gene editing for durable lipid lowering, nanotechnology-enabled drug delivery, and gut microbiota modulation targeting metabolites such as trimethylamine N-oxide. Although these innovations promise personalized atherosclerosis management, challenges remain in terms of accessibility, health equity, and clinical implementation. The integration of multimodal data analytics with targeted therapeutics heralds a new era of precision cardiology aimed at reducing the global burden of coronary artery disease.
Keywords: coronary atherosclerosis; precision medicine; multiomics; inflammation; artificial intelligence; regenerative therapy

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