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Bioavailability Enhancement: Drug Permeability Enhancement01:27

Bioavailability Enhancement: Drug Permeability Enhancement

After oral administration, poor permeability often limits the rate at which drugs are absorbed through the intestinal epithelium. Enhancing drug permeability is crucial for effective therapy, and several strategies have been developed to overcome this challenge.One effective strategy involves the use of lipid-based formulations. These formulations enhance dissolution and solubility, targeting physiological mechanisms to increase drug absorption. This includes stimulating bile salt secretion,...

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High-Throughput Strategies for Streamlining Lipid Nanoparticle Development Pipeline.

Lois Lam1, Stephanie Watson2, Yogambha Ramaswamy1

  • 1The School of Biomedical Engineering, Faculty of IT and Engineering, Sydney Nano Institute, The University of Sydney, Camperdown, New South Wales, 2008, Australia.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|October 3, 2025
PubMed
Summary

Automated high-throughput platforms accelerate the development of lipid nanoparticles (LNPs) for nucleic acid delivery. This approach rapidly screens thousands of LNP formulations, optimizing them for clinical applications like mRNA vaccines and therapies.

Keywords:
barcoding strategiesclosed‐loop workflowhigh‐throughput screeninglipid nanoparticlesmachine learningtherapeutic delivery

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Area of Science:

  • Biotechnology
  • Nanomedicine
  • Drug Delivery

Background:

  • Lipid nanoparticles (LNPs) are clinically validated nanocarriers for nucleic acid delivery, crucial for mRNA vaccines and therapies targeting cancer, ocular, and infectious diseases.
  • Traditional low-throughput methods for identifying optimal LNP formulations are resource-intensive and impractical for large-scale screening.

Purpose of the Study:

  • To review integrated frameworks combining automation with high-throughput synthesis, characterization, and screening for LNP formulation development.
  • To highlight strategies for rapid, multi-parametric evaluation of LNP properties and therapeutic delivery outcomes.

Main Methods:

  • Leveraging automation and high-throughput platforms for lipid synthesis, characterization, and screening of LNP formulations.
  • Utilizing advanced biomimetic models and in vivo multiplexed barcoding for tissue targeting and delivery insights.
  • Implementing performance benchmarks at each stage to exclude suboptimal LNP candidates.

Main Results:

  • High-throughput strategies enable rapid generation and evaluation of thousands of LNP formulations.
  • Integrated pipelines systematically identify clinically viable LNP candidates by excluding suboptimal ones.
  • Advanced screening tools provide deeper insights into biodistribution, cellular uptake, and intracellular trafficking.

Conclusions:

  • Automation and high-throughput screening are transforming LNP formulation development, accelerating the identification of effective nanocarriers.
  • Future directions include machine learning-guided design for next-generation LNP therapeutics.
  • These advancements are crucial for translating LNP therapies from research to clinical application.