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      A Novel Amino Lipid Series for mRNA Delivery: Improved Endosomal Escape and Sustained Pharmacology and Safety in Non-human Primates

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          Abstract

          <p class="first" id="d346694e215">The success of mRNA-based therapies depends on the availability of a safe and efficient delivery vehicle. Lipid nanoparticles have been identified as a viable option. However, there are concerns whether an acceptable tolerability profile for chronic dosing can be achieved. The efficiency and tolerability of lipid nanoparticles has been attributed to the amino lipid. Therefore, we developed a new series of amino lipids that address this concern. Clear structure-activity relationships were developed that resulted in a new amino lipid that affords efficient mRNA delivery in rodent and primate models with optimal pharmacokinetics. A 1-month toxicology evaluation in rat and non-human primate demonstrated no adverse events with the new lipid nanoparticle system. Mechanistic studies demonstrate that the improved efficiency can be attributed to increased endosomal escape. This effort has resulted in the first example of the ability to safely repeat dose mRNA-containing lipid nanoparticles in non-human primate at therapeutically relevant levels. </p><p class="first" id="d346694e218">Sabnis et al. describe a novel amino lipid series for lipid nanoparticle-mediated delivery of mRNA. Enhanced delivery efficiency attributed to increased endosomal escape is demonstrated. An improved tolerability profile enables the first example of safe repeat dosing of mRNA containing lipid nanoparticles in non-human primate at therapeutically relevant levels. </p>

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          Author and article information

          Journal
          Molecular Therapy
          Molecular Therapy
          Elsevier BV
          15250016
          June 2018
          June 2018
          : 26
          : 6
          : 1509-1519
          Article
          10.1016/j.ymthe.2018.03.010
          5986714
          29653760
          e54ff1dd-71b9-4a0d-afca-d2ee3dadbdbb
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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