Discovery of peptides for targeted delivery of mRNA lipid nanoparticles to cystic fibrosis lung epithelia
Year: 2023
Type: preprint
Abstract: For cystic fibrosis (CF) patients, a lung targeted gene therapy would significantly alleviate pulmonary complications associated with morbidity and mortality. However, mucus in the airways and cell entry pose huge delivery barriers for local gene therapy. Here, we used phage display technology to select for and identify mucus- and cell-penetrating peptides against primary human bronchial epithelial cells (pHBECs) from CF patients cultured at air-liquid interface (ALI). At ALI, pHBECs produce mucus and reflect CF disease pathology, making it a clinically relevant model. Using this model, we discovered a lead candidate peptide, and incorporated it into lipid nanoparticles (LNPs) to deliver mRNA to pHBECs and mouse lungs in vivo . Compared to LNPs without our peptide, peptide-LNPs demonstrated 7.8-fold and 4.8-fold higher mRNA expression in vitro and in vivo , respectively. Since gene delivery to pHBECs is a significant challenge, we are encouraged by these results and anticipate that our peptide could be used to successfully deliver CF gene therapies in future work.
Authors: Melissa R. Soto, Mae M. Lewis, Jasmim Leal, Yuting Pan, Rashmi P. Mohanty, Sophie Peng, Tony Dong, Debadyuti Ghosh
Institution: The University of Texas at Austin
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4386744357
