Resolving the mRNA Encapsulation‐Release Trade‐off via Compensatory Forces in Engineered Ionizable Lipids

A critical challenge in lipid nanoparticle (LNP) delivery of messenger RNA (mRNA) is the inherent trade-off between stable encapsulation and efficient intracellular release. Here, this challenge is addressed through rationally engineering compensatory forces between mRNA and LNP, leveraging short-range intermolecular interactions (van der Waals, hydrogen bonding) to dynamically balance long-range Coulombic binding. Guided by a computational-experimental framework, a "contact number" metric is developed to decipher mRNA and LNP binding hierarchies, enabling the strategic incorporation of short-range-interaction motifs (e.g., urea, carbamate) into ionizable lipid (IL) structures. These designs achieve optimal mRNA encapsulation while promoting endosomal escape and cytosolic release, resulting in enhanced mRNA translation. Compared to commercial mRNA vaccine counterparts, the engineered LNP (OT13-LNP) induces a 1.7-fold increase in antigen-specific T cell responses and 77.9% tumor inhibition in melanoma. In hepatic gene editing, OT13-LNPs achieve comparable transthyretin (TTR) on-target editing efficiency to ALC0315-LNPs (0.5 mg kg<sup>-1</sup>), but elicit a markedly stronger silencing effect, reducing serum TTR levels by over 90% compared with ≈58% for ALC0315-LNPs. This study may highlights the potential of compensatory-force engineering for next-generation mRNA therapeutics in oncology, gene editing, and infectious diseases.

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Publication Details

Journal
Advanced Materials
Published
2025-11-16
DOI
https://doi.org/10.1002/adma.202512235
Citations
2
Primary Topic
RNA Interference and Gene Delivery
Type
article
Field-Weighted Citation Impact
1.61
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article

Resolving the mRNA Encapsulation‐Release Trade‐off via Compensatory Forces in Engineered Ionizable Lipids

X. Y. Shan, Weixiang Gao, Yuqi Liu, Yishan Ma et al.
2 citations
Advanced Materials
RNA Interference and Gene Delivery
1.61
article

Resolving the mRNA Encapsulation‐Release Trade‐off via Compensatory Forces in Engineered Ionizable Lipids

X. Y. Shan, Weixiang Gao, Yuqi Liu, Yishan Ma, Kang An, Wei Chen, Peicheng Wang, Yufei Xia, Xiao Xu, Ying Ren, Changyang Zhou, Ziyue Wang, Xiaonan Huang
article en
2 citations

Abstract

A critical challenge in lipid nanoparticle (LNP) delivery of messenger RNA (mRNA) is the inherent trade-off between stable encapsulation and efficient intracellular release. Here, this challenge is addressed through rationally engineering compensatory forces between mRNA and LNP, leveraging short-range intermolecular interactions (van der Waals, hydrogen bonding) to dynamically balance long-range Coulombic binding. Guided by a computational-experimental framework, a "contact number" metric is developed to decipher mRNA and LNP binding hierarchies, enabling the strategic incorporation of short-range-interaction motifs (e.g., urea, carbamate) into ionizable lipid (IL) structures. These designs achieve optimal mRNA encapsulation while promoting endosomal escape and cytosolic release, resulting in enhanced mRNA translation. Compared to commercial mRNA vaccine counterparts, the engineered LNP (OT13-LNP) induces a 1.7-fold increase in antigen-specific T cell responses and 77.9% tumor inhibition in melanoma. In hepatic gene editing, OT13-LNPs achieve comparable transthyretin (TTR) on-target editing efficiency to ALC0315-LNPs (0.5 mg kg<sup>-1</sup>), but elicit a markedly stronger silencing effect, reducing serum TTR levels by over 90% compared with ≈58% for ALC0315-LNPs. This study may highlights the potential of compensatory-force engineering for next-generation mRNA therapeutics in oncology, gene editing, and infectious diseases.

Advanced MaterialsVol. 38(14)
Shanghai Institutes for Biological Sciences (CN), Shanghai Institute of Applied Physics (CN), Institute of Process Engineering (CN), University of Chinese Academy of Sciences (CN), Xi’an Jiaotong-Liverpool University (CN), Epigenomics (Germany) (DE)
Openalex Percentile: Top 14%
RNA Interference and Gene Delivery
1.61
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