Cholesterol‐Derived Mannosylated Polypeptide‐Formed Lipid Nanoparticles for Efficient in Vivo mRNA Delivery

Effective delivery of lipid nanoparticles (LNPs)-based mRNA vaccines to antigen presenting cells (APCs) is important for eliciting potent immune responses. However, most LNPs-based mRNA vaccines usually suffer from insufficient accumulation in APCs due to the lack of active targeting capability, leading to the limited efficacy and the need for high injection dose. In this study, a series of cholesterol-derived mannopolypeptide (CPSM) and cholesterol-conjugated mannose (CM) derivatives is synthesized to prepare mannosylated LNPs for efficient mRNA delivery. The co-assembly of CPSM and/or CM is demonstrated with ionizable lipid, helper lipid, and cholesterol into LNPs provides the colloidal stability of LNPs, and endows LNPs the ability to target APCs. The leading mannosylated LNPs including CPSM-LNP and CM/CPSM-LNP exhibit efficient mRNA transfection ability in dendritic cells and mice. Specifically, CPSM-LNP and CM/CPSM-LNP show preferential accumulation in the lymph nodes compared with commercial ALC-LNP from Pfizer/BioNTech's COVID-19 mRNA vaccine formulation. This study presents a straightforward yet effective strategy to synthesize cholesterol-derived mannopolypeptides and prepare mannosylated LNPs for successful in vivo mRNA delivery.

Authors

Institutions

Publication Details

Journal
Small Methods
Published
2025-04-21
DOI
https://doi.org/10.1002/smtd.202401712
Citations
7
Primary Topic
RNA Interference and Gene Delivery
Type
article
Field-Weighted Citation Impact
5.64

Funders

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

Cholesterol‐Derived Mannosylated Polypeptide‐Formed Lipid Nanoparticles for Efficient in Vivo mRNA Delivery

Yi Yan Yang, Qingfeng Chen, Shonya Lingesh, Min Liu et al.
7 citations
Small Methods
RNA Interference and Gene Delivery
5.64
article

Cholesterol‐Derived Mannosylated Polypeptide‐Formed Lipid Nanoparticles for Efficient in Vivo mRNA Delivery

Yi Yan Yang, Qingfeng Chen, Shonya Lingesh, Min Liu, Jin‐Yue Zeng, N. Krishnan, Brandon Seow Yi Loong
article en
7 citations

Abstract

Effective delivery of lipid nanoparticles (LNPs)-based mRNA vaccines to antigen presenting cells (APCs) is important for eliciting potent immune responses. However, most LNPs-based mRNA vaccines usually suffer from insufficient accumulation in APCs due to the lack of active targeting capability, leading to the limited efficacy and the need for high injection dose. In this study, a series of cholesterol-derived mannopolypeptide (CPSM) and cholesterol-conjugated mannose (CM) derivatives is synthesized to prepare mannosylated LNPs for efficient mRNA delivery. The co-assembly of CPSM and/or CM is demonstrated with ionizable lipid, helper lipid, and cholesterol into LNPs provides the colloidal stability of LNPs, and endows LNPs the ability to target APCs. The leading mannosylated LNPs including CPSM-LNP and CM/CPSM-LNP exhibit efficient mRNA transfection ability in dendritic cells and mice. Specifically, CPSM-LNP and CM/CPSM-LNP show preferential accumulation in the lymph nodes compared with commercial ALC-LNP from Pfizer/BioNTech's COVID-19 mRNA vaccine formulation. This study presents a straightforward yet effective strategy to synthesize cholesterol-derived mannopolypeptides and prepare mannosylated LNPs for successful in vivo mRNA delivery.

Small MethodsVol. 9(6)
Agency for Science, Technology and Research (SG), Bioprocessing Technology Institute (SG), Institute of Molecular and Cell Biology (SG)
Agency for Science, Technology and Research, National Research Foundation Singapore
Good health and well-being
Openalex Percentile: Top 4%
RNA Interference and Gene Delivery
5.64
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.