Engineering of an Exosome-Based <i>GPIHBP1</i> mRNA Delivery System for Efficient Therapy of Familial Hypertriglyceridemia

Familial hypertriglyceridemia (FHTG), a severe subtype of primary hypertriglyceridemia caused by mutations in <i>GPIHBP1</i> and other related genes, is linked to life-threatening cardiovascular complications. Current therapies inadequately address the underlying genetic pathology. Here, we developed a novel exosome-based mRNA delivery platform to restore functional glycosylphosphatidylinositol-anchored high-density lipoprotein-binding protein 1 (<i>GPIHBP1</i>) expression, providing a targeted therapeutic strategy for FHTG. Using <i>GPIHBP1</i><sup>-/-</sup> mice as disease models, we engineered exosomes (Exo<sup>GPIHBP1</sup>) encapsulating <i>GPIHBP1</i> mRNA via an optimized vector. These exosomes exhibited high biostability and preferential liver accumulation after systemic administration, enabling efficient protein translation. Consequently, treatment significantly reduced serum triglyceride (TG) levels, attenuated lipid accumulation, and ameliorated liver steatosis. Our study explores exosome-mediated <i>GPIHBP1</i> mRNA therapy as a precise, safe, and effective strategy for FHTG, highlighting a considerable translational potential for genetic dyslipidemias. The platform advances RNA-based therapeutics by bridging the gap between gene therapy and clinical applications.

Authors

Institutions

Publication Details

Journal
Journal of Medicinal Chemistry
Published
2025-09-05
DOI
https://doi.org/10.1021/acs.jmedchem.5c01828
Primary Topic
Lipid metabolism and disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineering of an Exosome-Based GPIHBP1 mRNA Delivery System for Efficient Therapy of Familial Hypertriglyceridemia

Chao Yang, Xinxin Xu, Xinyu Cui, Xiao Meng et al.
Journal of Medicinal Chemistry
Lipid metabolism and disorders
article

Engineering of an Exosome-Based GPIHBP1 mRNA Delivery System for Efficient Therapy of Familial Hypertriglyceridemia

Chao Yang, Xinxin Xu, Xinyu Cui, Xiao Meng, Qianjun He, Guohua Song, Chao Xia, Ying Cao
article en

Abstract

Familial hypertriglyceridemia (FHTG), a severe subtype of primary hypertriglyceridemia caused by mutations in <i>GPIHBP1</i> and other related genes, is linked to life-threatening cardiovascular complications. Current therapies inadequately address the underlying genetic pathology. Here, we developed a novel exosome-based mRNA delivery platform to restore functional glycosylphosphatidylinositol-anchored high-density lipoprotein-binding protein 1 (<i>GPIHBP1</i>) expression, providing a targeted therapeutic strategy for FHTG. Using <i>GPIHBP1</i><sup>-/-</sup> mice as disease models, we engineered exosomes (Exo<sup>GPIHBP1</sup>) encapsulating <i>GPIHBP1</i> mRNA via an optimized vector. These exosomes exhibited high biostability and preferential liver accumulation after systemic administration, enabling efficient protein translation. Consequently, treatment significantly reduced serum triglyceride (TG) levels, attenuated lipid accumulation, and ameliorated liver steatosis. Our study explores exosome-mediated <i>GPIHBP1</i> mRNA therapy as a precise, safe, and effective strategy for FHTG, highlighting a considerable translational potential for genetic dyslipidemias. The platform advances RNA-based therapeutics by bridging the gap between gene therapy and clinical applications.

Journal of Medicinal ChemistryVol. 68(18)
Shanghai Jiao Tong University (CN), City University of Hong Kong, Shenzhen Research Institute (CN), Affiliated Hospital of Taishan Medical University (CN), Shandong First Medical University (CN), RE Hydrogen (United Kingdom) (GB)
National Natural Science Foundation of China, Science, Technology and Innovation Commission of Shenzhen Municipality
Openalex Percentile: Top 63%
Lipid metabolism and disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.