Literature DB >> 31473250

Optimizing design parameters of a peptide targeted liposomal nanoparticle in an in vivo multiple myeloma disease model after initial evaluation in vitro.

Jared F Stefanick1, David T Omstead1, Jonathan D Ashley1, Peter E Deak1, Nur Mustafaoglu1, Tanyel Kiziltepe2, Basar Bilgicer3.   

Abstract

Despite ligand-targeted liposomes long garnering interest as drug delivery vehicles for cancer therapeutics, inconsistency in successful outcomes have hindered their translation into the clinic. This is in part due to discrepancies between in vitro design evaluations and final in vivo outcomes. By employing a multifaceted synthetic strategy to prepare peptide-targeted nanoparticles of high purity, reproducibility, and with precisely controlled quantity of functionalities, we systematically evaluated the individual roles that peptide-linker length, peptide hydrophilicity, peptide density, and nanoparticle size play on cancer cell uptake and tumor targeting both in vitro and in vivo, and how the results correlated and contrasted. These parameters were analyzed using a VLA-4-targeted liposome system in a multiple myeloma mouse xenograft model to evaluate in vivo biodistribution and tumor cell uptake. The results showed that using in vitro models to optimize targeted-nanoparticles for maximum cellular uptake was helpful in narrowing down the particle characteristics. However, in vitro optimization fell short of achieving enhanced results in animal models, rather had negative consequences for in vivo targeting. This outcome is not surprising considering that the receptor being targeted is also present on healthy lymphocytes and increasing targeting peptide valency on particle surfaces results in an increase in non-selective, off-target binding to healthy cells. Hence, further optimization using in vivo models was absolutely necessary, through which we were able to increase the uptake of peptide-targeted liposomes by cancerous cells overexpressing VLA-4 to 15-fold over that of non-targeted liposomes in vivo. The results highlighted the importance of creating a comprehensive understanding of the effect of each liposome design parameter on multifactorial biological endpoints including both in vitro and in vivo in determining the therapeutic potential of peptide-targeted liposomes.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biodistribution; Ligand-targeted; Liposome; Nanoparticle; Peptide; VLA-4

Year:  2019        PMID: 31473250     DOI: 10.1016/j.jconrel.2019.08.033

Source DB:  PubMed          Journal:  J Control Release        ISSN: 0168-3659            Impact factor:   9.776


  3 in total

1.  Engineering peptide-targeted liposomal nanoparticles optimized for improved selectivity for HER2-positive breast cancer cells to achieve enhanced in vivo efficacy.

Authors:  Baksun Kim; Jaeho Shin; Junmin Wu; David T Omstead; Tanyel Kiziltepe; Laurie E Littlepage; Basar Bilgicer
Journal:  J Control Release       Date:  2020-04-08       Impact factor: 9.776

2.  In vivo evaluation of CD38 and CD138 as targets for nanoparticle-based drug delivery in multiple myeloma.

Authors:  David T Omstead; Franklin Mejia; Jenna Sjoerdsma; Baksun Kim; Jaeho Shin; Sabrina Khan; Junmin Wu; Tanyel Kiziltepe; Laurie E Littlepage; Basar Bilgicer
Journal:  J Hematol Oncol       Date:  2020-11-02       Impact factor: 17.388

3.  Orthogonal targeting of osteoclasts and myeloma cells for radionuclide stimulated dynamic therapy induces multidimensional cell death pathways.

Authors:  Alexander Zheleznyak; Matthew Mixdorf; Lynne Marsala; Julie Prior; Xiaoxia Yang; Grace Cui; Baogang Xu; Steven Fletcher; Francesca Fontana; Gregory Lanza; Samuel Achilefu
Journal:  Theranostics       Date:  2021-06-22       Impact factor: 11.556

  3 in total

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