4.5 Article

When drug nanocarriers miss their target: extracellular diffusion and cell uptake are not enough to be effective

Journal

BIOMATERIALS SCIENCE
Volume 9, Issue 16, Pages 5477-5484

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1bm00669j

Keywords

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Funding

  1. Ile-de-France Region
  2. Ile-de-France network of Excellence in Porous Solids
  3. CNRS
  4. French Ministry of Research

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Biocompatible nanoscale iron carboxylate metal-organic frameworks (nanoMOFs) show potential in delivering therapeutic molecules efficiently, but their efficacy is hindered by the sequestration of loaded drugs in lysosomes, preventing them from reaching the nucleus, the subcellular target of the drug. Further optimization is needed to enhance successful drug delivery.
Biocompatible nanoscale iron carboxylate metal-organic frameworks (nanoMOFs) have already demonstrated their ability to efficiently deliver various therapeutic molecules. The versatility of the synthesis methods and functionalization strategies could further improve their drug carrier potential. However, in oncology, preclinical evaluation still suffers from the lack of relevant models able to mimic the heterogeneity and the microenvironment of human tumors. This may impact the significance of the preclinical data, hindering the clinical translation and drug development process. Motivated by this hurdle, a 3D lung tumor model is herein developed to investigate nanoMOFs, as bare nanoparticles or coated with polyethylene glycol. Loading with doxorubicin, as a model drug, enables the investigation of their penetration capacity and efficacy in the 3D tumor nodule. NanoMOFs carry a large cargo, can diffuse efficiently within the tumor and are capable of significant intracellular penetration. Nevertheless, they prove to be therapeutically ineffective because the loaded drug is sequestrated in the lysosomal compartment and does not reach the nucleus, the doxorubicin sub-cellular target. These results question the in vivo evaluation of these nanoMOFs and call for further optimization to achieve successful drug delivery.

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