# Gene Editing Therapies Targeting Lipid Metabolism for Cardiovascular Disease: Tools, Delivery Strategies, and Clinical Progress

**Authors:** Zhuoying Ren, Jun Zhou, Dongshan Yang, Yanhong Guo, Jifeng Zhang, Jie Xu, Y Eugene Chen

PMC · DOI: 10.3390/cells15020134 · Cells · 2026-01-12

## TL;DR

Gene editing therapies targeting liver genes involved in lipid metabolism are advancing into clinical trials, offering long-term treatment for cardiovascular diseases.

## Contribution

This review captures the progress of liver-targeted gene editing therapies (LivGETx-CVD) from concept to clinical application for cardiovascular disease.

## Key findings

- LivGETx-CVD has moved from conceptual frameworks to early-phase clinical trials for treating dyslipidemia and atherosclerosis.
- Promising gene targets include PCSK9, ANGPTL3, IDOL, ASGR1, APOC3, and LPA for durable lipid-lowering effects.
- Challenges remain in delivery safety, off-target effects, and regulatory oversight for broader preventive use.

## Abstract

What are the main findings?
Gene editing therapies targeting liver-specific genes that are involved in lipid metabolism for treating cardiovascular diseases (LivGETx-CVD) have progressed from conceptual frameworks to early-phase clinical trials, with the potential to redefine prevention and long-term management of dyslipidemia and atherosclerotic cardiovascular diseases.Human genetics and preclinical studies suggest several promising genes, such as PCSK9, ANGPTL3, IDOL, ASGR1, APOC3, and LPA, for targeting in LivGETx-CVD to achieve durable LDL-C and triglyceride lowering after a single administration.

Gene editing therapies targeting liver-specific genes that are involved in lipid metabolism for treating cardiovascular diseases (LivGETx-CVD) have progressed from conceptual frameworks to early-phase clinical trials, with the potential to redefine prevention and long-term management of dyslipidemia and atherosclerotic cardiovascular diseases.

Human genetics and preclinical studies suggest several promising genes, such as PCSK9, ANGPTL3, IDOL, ASGR1, APOC3, and LPA, for targeting in LivGETx-CVD to achieve durable LDL-C and triglyceride lowering after a single administration.

What is the implication of the main findings?
LivGETx-CVD is a potential “vaccine-like” intervention for cardiovascular disease, offering long-term protection without the adherence challenges and access barriers of chronic lipid-lowering medications.To translate LivGETx-CVD beyond rare, severe dyslipidemias toward broader preventive use, the field must address outstanding challenges in delivery safety, off-target effects, cost-effectiveness, as well as ethical and regulatory oversight, requiring larger and longer clinical trials and societal-level discussion.

LivGETx-CVD is a potential “vaccine-like” intervention for cardiovascular disease, offering long-term protection without the adherence challenges and access barriers of chronic lipid-lowering medications.

To translate LivGETx-CVD beyond rare, severe dyslipidemias toward broader preventive use, the field must address outstanding challenges in delivery safety, off-target effects, cost-effectiveness, as well as ethical and regulatory oversight, requiring larger and longer clinical trials and societal-level discussion.

Gene editing technologies have revolutionized therapeutic development, offering potentially curative and preventative strategies for cardiovascular disease (CVD), which remains a leading global cause of morbidity and mortality. This review provides an introduction to the state-of-the-art gene editing tools—including ZFNs, TALENs, CRISPR/Cas9 systems, base editors, and prime editors—and evaluates their application in lipid metabolic pathways central to CVD pathogenesis. Emphasis is placed on targets such as PCSK9, ANGPTL3, CETP, APOC3, ASGR1, LPA, and IDOL, supported by findings from human genetics, preclinical models, and recent first-in-human trials. Emerging delivery vehicles (AAVs, LNPs, lentivirus, virus-like particles) and their translational implications are discussed. The review highlights ongoing clinical trials employing liver-targeted in vivo editing modalities (LivGETx-CVD) and provides insights into challenges in delivery, off-target effects, genotoxicity, and immunogenicity. Collectively, this review captures the rapid progress of LivGETx-CVD from conceptual innovation to clinical application, and positions gene editing as a transformative, single-dose strategy with the potential to redefine prevention and long-term management of dyslipidemia and atherosclerotic cardiovascular disease.

## Linked entities

- **Genes:** PCSK9 (proprotein convertase subtilisin/kexin type 9) [NCBI Gene 255738], ANGPTL3 (angiopoietin like 3) [NCBI Gene 27329], MYLIP (myosin regulatory light chain interacting protein) [NCBI Gene 29116], ASGR1 (asialoglycoprotein receptor 1) [NCBI Gene 432], APOC3 (apolipoprotein C3) [NCBI Gene 345], LPA (lipoprotein(a)) [NCBI Gene 4018]
- **Diseases:** dyslipidemia (MONDO:0002525)

## Full-text entities

- **Genes:** MYLIP (myosin regulatory light chain interacting protein) [NCBI Gene 29116] {aka IDOL, MIR}, ASGR1 (asialoglycoprotein receptor 1) [NCBI Gene 432] {aka ASGPR, ASGPR1, CLEC4H1, HL-1}, PCSK9 (proprotein convertase subtilisin/kexin type 9) [NCBI Gene 255738] {aka FH3, FHCL3, HCHOLA3, LDLCQ1, NARC-1, NARC1}, LPA (lipoprotein(a)) [NCBI Gene 4018] {aka AK38, APOA, LP}, APOC3 (apolipoprotein C3) [NCBI Gene 345] {aka APOCIII, Apo-C3, ApoC-3}, CETP (cholesteryl ester transfer protein) [NCBI Gene 1071] {aka BPIFF, HDLCQ10}, ANGPTL3 (angiopoietin like 3) [NCBI Gene 27329] {aka ANG-5, ANGPT5, ANL3, FHBL2}
- **Diseases:** atherosclerotic cardiovascular disease (MESH:D050197), CVD (MESH:D002318), dyslipidemia (MESH:D050171)
- **Chemicals:** Lipid (MESH:D008055), LivGETx (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12838856/full.md

## References

232 references — full list in the complete paper: https://tomesphere.com/paper/PMC12838856/full.md

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Source: https://tomesphere.com/paper/PMC12838856