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Stabilizing Anionic mRNA Lipid Nanoparticles by Cleavable Crosslinking of Cholesterol
Yunhe Su1,2,3, Joseph Choy1,4,3, Xiang Liu1,4,3
1Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21218, United States.
ACS Applied Materials & Interfaces
|July 16, 2026
Summary
Anionic lipid nanoparticles (LNPs) for mRNA delivery were stabilized using a cleavable crosslinking strategy. This improved splenic mRNA expression and expanded design options for targeted delivery.
Area of Science:
- Biotechnology
- Nanomedicine
- Molecular Biology
Background:
- Lipid nanoparticles (LNPs) are crucial for mRNA delivery, but their stability and anionic lipid composition limit formulation design.
- Weak RNA-lipid interactions can cause LNP rearrangement, reducing efficacy, especially for spleen-targeted delivery.
Purpose of the Study:
- To develop a cleavable crosslinking strategy to stabilize anionic LNPs without altering core lipid components.
- To enhance the structural integrity and in vivo performance of anionic LNP formulations for mRNA delivery.
Main Methods:
- A cleavable crosslinking strategy was applied to anionic LNPs using tunable cholesterol-derived crosslinkers and PEG-diamines.
- Structural stability was optimized by adjusting crosslinker and PEG-diamine lengths.
- Splenic mRNA expression and cellular uptake were evaluated in vivo.
Main Results:
- Optimized crosslinked LNPs demonstrated enhanced structural stability compared to uncrosslinked counterparts.
- A significant increase in splenic mRNA expression was observed at 12 hours post-administration.
- Mechanistic studies indicated controlled mRNA release and altered intracellular processing, leading to improved transfection efficiency, with T cells showing significant tdTomato expression.
Conclusions:
- A tunable crosslinking method effectively stabilizes anionic LNPs, overcoming previous limitations in formulation design.
- This approach expands the accessible design space for tissue- and cell-specific mRNA delivery applications.
- The findings pave the way for more robust and targeted mRNA-based therapeutics.

