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Journal of chemical information and modeling2026ResearchNon-viral Gene DeliveryDrug Delivery

Insights into Composition-Induced Structural Shifts in Lipid Nanoparticles

Wei Rj, Fuladi S, Grzetic Dj, Misra M, Hughes Tf, Giesen Dj, Et Al.DOI 10.1021/acs.jcim.6c02185
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Summary

Lipid nanoparticles (LNPs) are a leading platform for nucleic acid delivery, yet current formulations typically suffer from rapid in vivo clearance and limited extrahepatic delivery. Recent experiments demonstrate that increasing the helper lipid content (e.g., to 40% 1,2-distearoyl-sn-glycero-3-phosphocholine [DSPC]) can significantly improve mRNA stability, prolong circulation, and enhance transfection efficiency. In this study, we used coarse-grained molecular dynamics simulations to provide mechanistic insight into the structural changes driving these improvements.

Lipid nanoparticles (LNPs) are a leading platform for nucleic acid delivery, yet current formulations typically suffer from rapid in vivo clearance and limited extrahepatic delivery. Recent experiments demonstrate that increasing the helper lipid content (e.g., to 40% 1,2-distearoyl-sn-glycero-3-phosphocholine [DSPC]) can significantly improve mRNA stability, prolong circulation, and enhance transfection efficiency. In this study, we used coarse-grained molecular dynamics simulations to provide mechanistic insight into the structural changes driving these improvements. Our simulations confirm that an elevated helper lipid content fundamentally alters the internal morphology of the LNP. Consistent with experimental observations, at high DSPC levels, the core transitions from a compact, disordered, predominantly lipid state to an extended structure with distinct lamellar-like elements encompassing lipid-rich and water-rich regions. This structural reorganization can be used to rationalize the enhanced stability and delivery properties reported in the experiments. These findings provide a molecular-level understanding of the composition-morphology relationship and suggest that coarse-grained modeling can inform the design of novel LNP formulations.

Abstract from PubMed (PMID 43001927). This entry was added automatically by our daily literature monitor because it matches the topics we follow; read the full paper at the original source.

Insights into Composition-Induced Structural Shifts in Lipid Nanoparticles | Brilliant Blue Biosciences