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Related Experiment Video

Updated: Jun 3, 2025

Testing the In Vitro and In Vivo Efficiency of mRNA-Lipid Nanoparticles Formulated by Microfluidic Mixing
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Elucidating lipid nanoparticle properties and structure through biophysical analyses.

Marshall S Padilla1, Sarah J Shepherd1, Andrew R Hanna1

  • 1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.

Biorxiv : the Preprint Server for Biology
|January 7, 2025
PubMed
Summary

Advanced biophysical methods reveal intrinsic polydispersity in lipid nanoparticles (LNPs), crucial for RNA therapeutics. Understanding LNP structure-function relationships will enable improved design for targeted delivery and efficacy.

Keywords:
Lipid nanoparticlesanalytical ultracentrifugationfield-flow fractionationmRNAmultiangle light scatteringsmall-angle X-ray scattering

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Area of Science:

  • Biophysics
  • Nanotechnology
  • Drug Delivery

Background:

  • Lipid nanoparticles (LNPs) are key delivery systems for RNA therapeutics, with recent success in siRNA and mRNA applications.
  • Current LNP development is hindered by limited understanding of how composition and mixing affect LNP properties.
  • Traditional characterization methods struggle with LNP polydispersity, limiting accurate physicochemical assessment.

Purpose of the Study:

  • To structurally characterize polydisperse LNP formulations using high-resolution, solution-based biophysical methods.
  • To investigate the influence of formulation technique and lipid composition on LNP size, RNA loading, and shape.
  • To correlate LNP physicochemical characteristics with biological outcomes like transfection efficiency.

Main Methods:

  • Sedimentation velocity analytical ultracentrifugation (SV-AUC)
  • Field-flow fractionation with multi-angle light scattering (FFF-MALS)
  • Size-exclusion chromatography with synchrotron small-angle X-ray scattering (SEC-SAXS)

Main Results:

  • LNPs exhibit intrinsic polydispersity in size, RNA loading, and shape.
  • These parameters are significantly influenced by the LNP formulation technique and lipid composition.
  • Biophysical data accurately predicted LNP transfection efficiency in human primary T cells and in vivo administration.

Conclusions:

  • Emerging solution-based biophysical methods provide high-resolution structural and physicochemical data for polydisperse LNPs.
  • These methods are essential for elucidating LNP structure-function relationships.
  • This work facilitates the development of new design rules for advanced LNP therapeutics.