4.6 Article

Understanding selectivity of metabolic labelling and click-targeting in multicellular environments as a route to tissue selective drug delivery

Journal

JOURNAL OF MATERIALS CHEMISTRY B
Volume 9, Issue 26, Pages 5365-5373

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1tb00721a

Keywords

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Funding

  1. Australian Research Council (ARC) Centre of Excellence in Convergent Bio-Nano Science and Technology
  2. SPARK by Swiss National Science Foundation [190440]
  3. BBSRC/Innovate [BB/M02878X/1]
  4. BBSRC [BB/M02878X/1] Funding Source: UKRI

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This work explores the selectivity of metabolic glycan labelling in cancer versus normal cells, demonstrating the potential to recruit nanotherapeutics using metabolic labelling while minimizing non-specific targeting of surrounding tissues.
Cancer cells generally exhibit higher metabolic demands relative to that of normal tissue cells. This offers great possibilities to exploit metabolic glycoengineering in combination with bio-orthogonal chemistry reactions to achieve tumour site-targeted therapeutic delivery. This work addresses the selectivity of metabolic glycan labelling in diseased (i.e., cancer) versus normal cells grown in a multicellular environment. Dibenzocylooctyne (DBCO)-bearing acetylated-d-mannosamine (Ac(4)ManNDBCO) was synthesised to metabolically label three different types of cell lines originating from the human lung tissues: A549 adenocarcinomic alveolar basal epithelial cells, MeT5A non-cancerous mesothelial cells, and MRC5 non-cancerous fibroblasts. These cell lines displayed different labelling sensitivity, which trended with their doubling time in the following order: A549 approximate to MeT5A > MRC5. The higher metabolic labelling efficiency inherently led to a higher extent of specific binding and accumulation of the clickable N-3-conjugated gold nanoparticles (N-3-AuNps, core diameter = 30 nm) in the DBCO-glycan modified A549 and MeT5A cells, but to a less prominent effect in MRC5 cells. These findings demonstrate that relative rates of cell metabolism can be exploited using metabolic labelling to recruit nanotherapeutics whilst minimising non-specific targeting of surrounding tissues.

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