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Elemental and optical imaging evaluation of zwitterionic gold nanoclusters in glioblastoma mouse models

  • Xavier Le Guével
  • , Maxime Henry
  • , Vincent Motto-Ros
  • , Elena Longo
  • , Maria I. Montañez
  • , Frédéric Pelascini
  • , Ombeline De La Rochefoucauld
  • , Philippe Zeitoun
  • , Jean Luc Coll
  • , Véronique Josserand
  • , Lucie Sancey
  • LTHE (UMR 5564 CNRS/IRD/Université de Grenoble)
  • IGFL, Université de Lyon, Université Lyon 1
  • Laboratory d'Optique Appliquée, ENSTA, CNRS-École Polytechnique
  • University of Malaga
  • Andalusian Center for Nanomedicine and Biotechnology-BIONand
  • CRITT Matériaux Alsace
  • Imagine Optic

Research output: Contribution to journalArticlepeer-review

Abstract

We report in this study the in vivo biodistribution of ultra-small luminescent gold (Au) particles (∼1.5 nm core size; 17 kDa), so-called nanoclusters (NCs), stabilized by bidentate zwitterionic molecules in subcutaneous (s.c.) and orthotopic glioblastoma mice models. Particular investigations on renal clearance and tumor uptake were performed using highly sensitive advanced imaging techniques such as multi-elemental Laser-Induced Breakdown Spectroscopy (LIBS) imaging and in-line X-ray Synchrotron Phase Contrast Tomography (XSPCT). Results show a blood circulation time of 6.5 ± 1.3 min accompanied by an efficient and fast renal clearance through the cortex of the kidney with a 66% drop between 1 h and 5 h. With a similar size range, these Au NCs are 5 times more fluorescent than the well-described Au25GSH18 NCs in the near-infrared (NIR) region and present significantly stronger tumor uptake and retention illustrated by an in vivo s.c. tumor-to-skin ratio of 1.8 measured by non-invasive optical imaging and an ex vivo tumor-to-muscle of 6.1. This work highlights the pivotal role of surface coating in designing optimum Au NC candidates for cancer treatment.

Original languageEnglish
Pages (from-to)18657-18664
Number of pages8
JournalNanoscale
Volume10
Issue number39
DOIs
Publication statusPublished - 21 Oct 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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