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Polyphenolic Nanoparticle Platforms (PARCELs) for In Vitro and In Vivo mRNA Delivery.

Yutian MaPalas B TiwadeRachel VanKeulen-MillerEshan A NarasipuraOwen S Fenton
Published in: Nano letters (2024)
Despite their successful implementation in the COVID-19 vaccines, lipid nanoparticles (LNPs) still face a central limitation in the delivery of mRNA payloads: endosomal trapping. Improving upon this inefficiency could afford improved drug delivery systems, paving the way toward safer and more effective mRNA-based medicines. Here, we present p olyphenolic n a nopa r ti c l e p l atforms (PARCELs) as effective mRNA delivery systems. In brief, our investigation begins with a computationally guided structural analysis of 1825 discrete polyphenolic structural data points across 73 diverse small molecule polyphenols and 25 molecular parameters. We then generate structurally diverse PARCELs, evaluating their in vitro mechanism and activity, ultimately highlighting the superior endosomal escape properties of PARCELs relative to analogous LNPs. Finally, we examine the in vivo biodistribution, protein expression, and therapeutic efficacy of PARCELs in mice. In undertaking this approach, the goal of this study is to establish PARCELs as viable delivery platforms for safe and effective mRNA delivery.
Keyphrases
  • small molecule
  • binding protein
  • coronavirus disease
  • sars cov
  • healthcare
  • primary care
  • electronic health record
  • machine learning
  • deep learning
  • metabolic syndrome
  • data analysis