pH-Sensitive Amino Lipid-Driven Pore Formation Enables Endosomal Escape of Lipid Nanoparticles

Lipid nanoparticles (LNPs) have transformed nucleic acid delivery for vaccines and gene therapies, yet their efficiency remains limited by incomplete endosomal escape. While experimental studies have revealed endosomal membrane disruption facilitating cytosolic release, the molecular basis of this process remains poorly understood. Here, we employ molecular simulations to elucidate how LNPs fuse with the endosomal membrane and release their payloads. We identify multiple fusion pathways, with a dominant stalk-pore mechanism. Our simulations reproduce and rationalize key experimental observations, including the transfer of ionizable lipids from LNPs to the membrane, which promotes nucleic acid reorientation and facilitates stalk formation and expansion. Furthermore, lipid shape, pH sensitivity, membrane tension, and nucleic acid encapsulation emerge as critical molecular determinants of endosomal escape efficiency. These findings advance our mechanistic understanding of intracellular delivery and provide a framework for the rational design of LNPs with improved performance for gene therapies and RNA vaccines. Lipid nanoparticles have transformed nanomedicine, but the mechanisms are not fully understood. Here, the authors use molecular simulations and reveal a stalk– pore pathway for lipid nanoparticle fusion with endosomal membranes and nucleic acid release, identifying pH sensitivity, lipid transfer, shape, tension and cargo as key controls of escape.

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Publication Details

Journal
Nature Communications
Published
2026-08-13
DOI
https://doi.org/10.1038/s41467-026-76810-y
Primary Topic
RNA Interference and Gene Delivery
Type
article
Field-Weighted Citation Impact
0.00

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article

pH-Sensitive Amino Lipid-Driven Pore Formation Enables Endosomal Escape of Lipid Nanoparticles

Akhil Pratap Singh, Wataru Shinoda, Kana Shibata, Yusuke Miyazaki
Nature Communications
RNA Interference and Gene Delivery
article

pH-Sensitive Amino Lipid-Driven Pore Formation Enables Endosomal Escape of Lipid Nanoparticles

Akhil Pratap Singh, Wataru Shinoda, Kana Shibata, Yusuke Miyazaki
article en

Abstract

Lipid nanoparticles (LNPs) have transformed nucleic acid delivery for vaccines and gene therapies, yet their efficiency remains limited by incomplete endosomal escape. While experimental studies have revealed endosomal membrane disruption facilitating cytosolic release, the molecular basis of this process remains poorly understood. Here, we employ molecular simulations to elucidate how LNPs fuse with the endosomal membrane and release their payloads. We identify multiple fusion pathways, with a dominant stalk-pore mechanism. Our simulations reproduce and rationalize key experimental observations, including the transfer of ionizable lipids from LNPs to the membrane, which promotes nucleic acid reorientation and facilitates stalk formation and expansion. Furthermore, lipid shape, pH sensitivity, membrane tension, and nucleic acid encapsulation emerge as critical molecular determinants of endosomal escape efficiency. These findings advance our mechanistic understanding of intracellular delivery and provide a framework for the rational design of LNPs with improved performance for gene therapies and RNA vaccines. Lipid nanoparticles have transformed nanomedicine, but the mechanisms are not fully understood. Here, the authors use molecular simulations and reveal a stalk– pore pathway for lipid nanoparticle fusion with endosomal membranes and nucleic acid release, identifying pH sensitivity, lipid transfer, shape, tension and cargo as key controls of escape.

Nature Communications
Motilal Nehru National Institute of Technology (IN), Okayama University (JP), Nagoya University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 16%
RNA Interference and Gene Delivery
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pH-Sensitive Amino Lipid-Driven Pore Formation Enables Endosomal Escape of Lipid Nanoparticles — Akhil Pratap Singh, Wataru Shinoda, et al. · Nature Communications (2026) | TGRS Research Map | TGRS