Literature DB >> 35612432

Delivery of RNA Therapeutics: The Great Endosomal Escape!

Steven F Dowdy1, Ryan L Setten1, Xian-Shu Cui1, Satish G Jadhav1.   

Abstract

RNA therapeutics, including siRNAs, antisense oligonucleotides, and other oligonucleotides, have great potential to selectively treat a multitude of human diseases, from cancer to COVID to Parkinson's disease. RNA therapeutic activity is mechanistically driven by Watson-Crick base pairing to the target gene RNA without the requirement of prior knowledge of the protein structure, function, or cellular location. However, before widespread use of RNA therapeutics becomes a reality, we must overcome a billion years of evolutionary defenses designed to keep invading RNAs from entering cells. Unlike small-molecule therapeutics that are designed to passively diffuse across the cell membrane, macromolecular RNA therapeutics are too large, too charged, and/or too hydrophilic to passively diffuse across the cellular membrane and are instead taken up into cells by endocytosis. However, similar to the cell membrane, endosomes comprise a lipid bilayer that entraps 99% or more of RNA therapeutics, even in semipermissive tissues such as the liver, central nervous system, and muscle. Consequently, before RNA therapeutics can achieve their ultimate clinical potential to treat widespread human disease, the rate-limiting delivery problem of endosomal escape must be solved in a clinically acceptable manner.

Entities:  

Keywords:  ASO; RNA therapeutics; delivery; endosomal escape; siRNA

Year:  2022        PMID: 35612432     DOI: 10.1089/nat.2022.0004

Source DB:  PubMed          Journal:  Nucleic Acid Ther        ISSN: 2159-3337            Impact factor:   4.244


  3 in total

1.  DNA/RNA heteroduplex oligonucleotides: An unanticipated twist in the delivery of ASOs.

Authors:  Ryan L Setten; Steven F Dowdy
Journal:  Mol Ther Nucleic Acids       Date:  2022-07-01       Impact factor: 10.183

2.  In-silico modelling studies of 5-benzyl-4-thiazolinone derivatives as influenza neuraminidase inhibitors via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions.

Authors:  Mustapha Abdullahi; Adamu Uzairu; Gideon Adamu Shallangwa; Paul Andrew Mamza; Muhammad Tukur Ibrahim
Journal:  Heliyon       Date:  2022-08-08

3.  Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions.

Authors:  Mustapha Abdullahi; Adamu Uzairu; Gideon Adamu Shallangwa; Paul Andrew Mamza; Muhammad Tukur Ibrahim
Journal:  Beni Suef Univ J Basic Appl Sci       Date:  2022-08-19
  3 in total

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